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Tests AI systems for vulnerabilities and biases by attempting to break or misuse models to improve their safety and robustness.
Ex-MBB consultant creates realistic consulting scenarios and structured tasks to train AI models on high-level business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Ex-MBB consultant creates realistic consulting scenarios and structures learning tasks to train AI models on high-level business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Former strategy consultant creates realistic consulting project scenarios and designs structured learning tasks to train AI models on business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
For this project, tasks are estimated to require around 25-30 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.
Trains AI systems by providing Chinese voice coaching and linguistic expertise to improve model outputs.
Coaches AI systems in French language by applying linguistic expertise to improve model performance and accuracy.
CAD engineer creates assignments, reviews AI-generated work, and provides feedback to train and evaluate AI models using domain expertise.
Headquarters:
URL: https://www.toptal.com/
We're looking for CAD Engineers to support the training and evaluation of AI models through task-based work. This isn't traditional CAD production work — you'll apply deep CAD domain expertise to create realistic assignments, define clear requirements and expected outputs, and rigorously review completed work for accuracy. If you can think like both an engineer and an evaluator, this role is built for that.
Analyze CAD domains to identify realistic, representative task scenarios
Create well-defined assignments with clear requirements and expected outputs
Review completed work for technical accuracy and adherence to CAD best practices
Source and validate CAD files to ensure quality and relevance for AI training use cases
Provide clear, structured feedback to support AI model evaluation
Complete a short paid test task, which determines eligibility for larger batches of ongoing work
Strong hands-on CAD engineering experience across relevant domains and tools
Ability to design realistic, well-scoped technical assignments from scratch
Strong attention to detail for reviewing and validating technical work
Comfort working in a task-based, output-driven engagement structure
Ability to source and assess CAD files for quality and appropriateness
Prior experience contributing to AI training, evaluation, or data annotation projects
Familiarity with multiple CAD platforms or specialized CAD domains
Flexible, task-based structure: Work in discrete assignments rather than a fixed long-term commitment
High-leverage impact: Your CAD expertise directly shapes how AI models learn and are evaluated
Low-commitment entry point: Start with a short paid test task before scaling into larger batches of work
Domain expertise valued: Real engineering judgment matters here, not just task completion
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To apply: https://weworkremotely.com/remote-jobs/toptal-cad-engineer-ai-model-training-evaluation-remote
Evaluates and tests AI agents/models to identify issues and provide feedback for improvement.
Former MBB consultant designs and builds reinforcement learning tasks, environments, and evaluation frameworks for frontier AI model post-training.
Designs and builds domain-specific reinforcement learning tasks and evaluation frameworks to support AI model post-training and optimization.
Tests and evaluates accessibility features in Chinese Simplified language content, providing feedback to improve localization quality.
Ex-MBB consultants design realistic business problem scenarios and structured tasks to train AI models on high-level reasoning and strategic thinking.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Ex-MBB consultant creates structured consulting scenarios and tasks to train AI models on business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Ex-MBB consultants create realistic consulting project scenarios and structured tasks to train AI models on business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Strategy consultant creates realistic consulting scenarios and structured tasks to train AI models on business reasoning and problem-solving methodologies.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Create realistic consulting scenarios and structured tasks to train AI models on business reasoning by converting hands-on strategy consulting experience into learning environments.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Design and build realistic consulting project scenarios and structured learning tasks to train AI models on business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Convert real consulting project experience into structured learning environments and tasks that train AI systems on business reasoning and problem-solving.
Toloka AI supports frontier model post-training by building domain-specific reinforcement learning environments, tasks, and evaluation frameworks designed by real practitioners.
Mindrift, powered by Toloka — a leading enterprise AI and machine learning data partner since 2014 — connects top domain experts with cutting-edge AI initiatives. Backed by Toloka’s deep expertise in scalable data generation, crowd technology, and applied ML systems, Mindrift enables experts to shape how next-generation generative models learn, reason, and perform.
We are launching a Management Consulting domain focused on translating real-world consulting engagements into structured learning environments for advanced AI systems. To do this credibly, we are assembling a team of strategy consultants from top-tier firms who can convert authentic project experience into end-to-end examples — from problem structuring and work planning to analysis, synthesis, and client-ready recommendations.
You will join a growing team of consultants from leading strategy firms shaping how AI learns high-level business reasoning.
Important: This role is exclusively for consultants with direct experience at a top-tier strategy consulting firm. If you do not have hands-on project experience at one of the firms listed below, please do not apply. This requirement ensures the domain is built by practitioners trained to the highest standards of structured problem-solving and client delivery.
Eligible firms: McKinsey & Company, Boston Consulting Group (BCG), Bain & Company, Oliver Wyman, Roland Berger, Monitor Deloitte (Deloitte S&C), EY-Parthenon, Kearney, and Strategy& (PwC).
Consultants with 3+ years of experience at one of the firms listed above, with hands-on project experience in:
No deep technical background is required — we will onboard you on the lightweight tools involved.
This is a remote, project-based, individual-contributor role focused on analytical design and evaluation.
On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.
Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.
Prepares and validates radiation therapy contours for AI model training, verifies model accuracy, and collaborates with engineering teams to ensure clinically acceptable AI-based treatment planning.
Radformation specializes in Radiation Oncology Cancer treatment workflow automation. Our solutions impact cancer clinics around the world by saving time, eliminating planning errors, and enabling them to design the optimal treatment for their patients.
We are looking for a highly motivated medical dosimetrist who has a passion for treatment planning and contouring in radiation therapy and enjoys a dynamic, fast-paced work environment. The Clinical Data Analyst will bring their contouring and treatment planning expertise to this role to prepare and assess treatment planning contours for the AutoContour AI Engineering team using the currently-accepted clinical guidelines in radiation therapy. This prepared data will be utilized for model training for the AutoContour product to ensure robust and clinically-acceptable AI-based contours as directed by the company objectives. As the Clinical Data Analyst, you will also be responsible for verifying the accuracy of trained models - including research models - as well as collaborate directly with the AI engineering team and the AutoContour Product Lead and AutoContour Models Product Manager.
As the Clinical Data Analyst, you will work closely with the larger Radformation AutoContour Product Team, Medical Lead, and across many company departments to organize and align needs to create and improve AutoContour models with your radiotherapy treatment planning knowledge.
At Radformation we believe AI can be an incredible tool for innovation, but our hiring process is all about getting to know you, your skills, experience, and unique approach to problem solving. We ask that all interviews and assessments be completed without tools that generate answers in real time. This helps ensure a fair process for everyone and allows us to see your authentic work. Using such tools during the process may affect your candidacy.
We care about our people as much as we care about our mission. We offer competitive compensation, benefits, and the opportunity to make an impact in the fight against cancer. The salary range for this role is $130,000 - 155,000 USD a year
($100,000 - 125,000 CAD a year) base salary, plus bonus eligibility.
Salary listed is in USD for US-based employees and will be commensurate with degree, title, and experience. Salary range will vary for international candidates and be commensurate with degree, title, experience, and geographical location.
At Radformation, we want every team member to feel supported, no matter where they live. For teammates outside the US, we provide benefits that align with local laws and standards, working with our Employer of Record (EOR) partners to ensure fairness and equity. This means your benefits package will be locally compliant, competitive, and designed to support your health, financial security, and work-life balance.
Cancer affects people from every walk of life, and we believe our team should reflect that diversity. Radformation is proud to be an equal opportunity workplace and an affirmative action employer. We welcome candidates from all backgrounds and are committed to fostering an inclusive environment for all employees.
Radformation does not accept unsolicited resumes from agencies without a signed agreement in place. We do not partner with third-party recruiters unless explicitly stated. All legitimate communication from Radformation will come from an @radformation.com email address. If you receive outreach from another domain or via unofficial channels, please contact [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Reviews and validates AI training data and annotator work quality for an AI data annotation project.
