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Expert practitioner writes, solves, and grades training tasks for AI models in your field of expertise, providing structured feedback on model outputs.
Headquarters: Atlanta, AZ.
URL: https://trainbrain.space/
What if the work you already do every day — shipping code, closing books, reading charts — became the training signal that teaches frontier AI how to think in your field?
TrainBrain builds expert-authored training data and evaluations for AI labs. We're hiring practising professionals to write, solve, and grade the tasks advanced models are measured against. When a model returns a broken function, a wrong reconciliation, or an unsafe clinical suggestion, it's because no expert caught it during training. You'd be that expert.
This isn't your day job in a new wrapper. There are no clients, no month-end close, no tickets, no on-call. You work in writing, on your own schedule, on problems chosen to sit right at the edge of what current models can handle.
No AI background required — we train you on the tooling.
Track 1 — Software Engineering
Write, debug, and optimise code across languages and problem domains. Review AI-generated solutions for correctness, security, and performance, and design edge cases that expose model weaknesses. Provide structured feedback explaining why code works — or doesn't — and compare competing solutions on engineering quality.
You'll need:
Nice to have:
Track 2 — Finance & Accounting
Author reconciliation scenarios: payment-to-invoice matching, billing versus recognised revenue, margin and variance analysis. Build the underlying data and source documents so each scenario is realistic, write rubrics specifying exact figures and required reasoning steps, then solve every task yourself to confirm the numbers hold.
You'll need:
Nice to have:
Track 3 — Medical & Clinical
Challenge models on differential diagnosis, drug interactions, treatment protocols, pathophysiology, and evidence appraisal. Write clinical vignettes with defensible, sourced answers, verify model outputs against current evidence, and document precisely where reasoning breaks down.
You'll need:
Nice to have:
What the work demands
Whatever your track, four things matter more than anything else.
Show your work. Making your reasoning explicit matters as much as the answer itself.
Be verifiable. Every task you write needs a correct answer someone else can confirm.
Iterate. You'll refine tasks until difficulty and gradability are both right.
Flag uncertainty. Saying "I'm not sure, and here's why" is a feature, not a failure.
You'll also need excellent written English, sharp attention to detail, and a secure computer with reliable internet.
Terms
This is a 1099 independent contractor position, not W-2 employment. You're responsible for your own taxes, and company-sponsored benefits such as health insurance, PTO, and retirement contributions don't apply. Contractors outside the US are engaged under the equivalent local arrangement.
Pay: $45–$100/hr, set by domain, seniority, and assessment performance. Specialised and hard-to-source expertise sits at the top of the band, and you're paid on a regular cadence.
Schedule: Choose your own projects, hours, and volume. Scale up in quiet weeks, scale down when your day job gets busy.
Growth: Strong contributors are invited into higher-rate specialist projects and review roles, with ongoing work as new engagements launch.
Ex-MBB consultants create structured learning environments and tasks to train AI models on real-world consulting problem-solving and business reasoning.
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 project scenarios and structured learning tasks to 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.
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 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.
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.
Transcribes audio in Egyptian Arabic to create high-quality training data for AI models.
Transcribes audio in Brazilian Portuguese to create high-quality training data for AI models.
Applies garment manufacturing QC expertise to train AI models by providing feedback and labeling data for quality control automation systems.
Personal finance expert evaluates and trains AI models by providing feedback on financial advice scenarios using real-world expertise.
Headquarters:
We are looking for experienced personal finance professionals to support the training and evaluation of AI models. You should have hands-on experience advising individual clients or households on real-world financial decisions.
Areas of Expertise
Ideal Candidates
To apply: https://weworkremotely.com/remote-jobs/toptal-expert-crowd-personal-finance-consultants-for-ai-model
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
Â
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.
