Computational science is judgement where code meets the physical world. AI systems need specialists who can review how a model reasons across biology, chemistry, physics and engineering.
This isn’t advisory work and it isn’t labelling. You’re reviewing real scientific work and explaining your judgement clearly enough that an AI can learn from it — paid for your expertise, by the hour.
Applied Clinical Judgement connects qualified people to vetted platforms, and Sean Key personally vouches for those he refers. We’re paid a referral fee by the platform on a successful placement — never by you. The roles below are live today.
8 live Computational Science roles · updated daily
Computational Bayesian Statistics and Applied Mathematics Expert
Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert at $70–$100 per hour to design graduate-level scientific problems for an AI benchmark. You'll create original computational tasks using specialised libraries like PyMC, FEniCS, and others, testing whether advanced AI systems can execute research workflows, design experiments, and extract insights from data. The work requires hands-on expertise in Bayesian methods, numerical PDEs, or computational topology, plus strong problem-design thinking. Minimum 15–20 hours weekly, remote.
Computational Engineering Expert
Micro1 seeks a computational engineering expert at $20–60/hr to evaluate AI systems' performance in realistic scenarios. You'll apply expertise in CFD, FEA, robotics, and simulation tools (ANSYS, Abaqus, MATLAB, OpenFOAM) to assess models, enhance datasets, and develop benchmarks. The role suits PhD-qualified engineers or equivalent researchers with strong domain knowledge and technical communication skills.
Computational Physics Expert
Contractor role via micro1 paying $20–$60 per hour. Physics PhD holders with computational expertise will evaluate and train AI systems on scientific reasoning tasks. Work involves analysing large datasets, developing simulations, and collaborating across disciplines to improve model performance. Suited to those with strong numerical methods background and ability to communicate complex concepts clearly.
Computational Chemistry Expert
Micro1 seeks a computational chemistry expert at $20–$60 per hour to train AI systems for chemistry benchmarking. You'll design and evaluate molecular simulation workflows, assess quantum chemistry methods, and guide AI model development using tools like Gaussian, ORCA and RDKit. The role demands a PhD in chemistry or equivalent experience, strong Python programming, and ability to communicate complex scientific concepts. Remote contractor position.
Computational Biology Expert
Micro1 seeks a computational biology expert at $20–60 per hour on a contractor basis. You'll evaluate and annotate AI outputs across genomics, transcriptomics, and systems biology workflows, assessing accuracy and performance against real-world scenarios. The role suits PhD-level scientists with hands-on experience in bioinformatics pipelines, scripting, and domain expertise who can provide rigorous scientific feedback to interdisciplinary teams.
Computational Bayesian Statistics and Applied Mathematics Expert
Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert at $70–$100 per hour to design graduate-level scientific problems for an AI benchmark. You'll create original computational tasks using specialised libraries like PyMC, FEniCS, and others, testing whether advanced AI systems can execute research workflows, design experiments, and extract insights from data. The work requires hands-on expertise in Bayesian methods, numerical PDEs, or computational topology, plus strong problem-design thinking. Minimum 15–20 hours weekly, remote.
Computational Mechanics Experts
Turing seeks computational mechanics specialists to evaluate AI training problems and research environments for frontier labs. You'll assess whether problems are scientifically sound, well-designed, and correctly graded—without solving them. Requires a Master's degree or PhD, or 4+ years professional experience in computational mechanics. Work fully remotely as a freelance contractor, reviewing tasks lasting 30–90 minutes each.
Computational Bayesian Statistics and Applied Mathematics Expert
Mercor is seeking a Computational Bayesian Statistics and Applied Mathematics Expert at $70–$100 per hour to design graduate-level scientific problems for an AI benchmark. You'll create original computational tasks using specialised libraries like PyMC, FEniCS, and others, testing whether advanced AI systems can execute research workflows, design experiments, and extract insights from data. The work requires hands-on expertise in Bayesian methods, numerical PDEs, or computational topology, plus strong problem-design thinking. Minimum 15–20 hours weekly, remote.
No live roles match your search.
AI training work is organised by profession, task and software — not by topic or sector. Try your field (for example “nursing” or “Python”), clear the filters, or browse the categories further down the page. The always-open talent pools below are a good place to start.
What the work looks like
Reviewing the model's work
Read what an AI produced in your field and judge whether the reasoning holds — mark where it went wrong.
Setting hard problems
Write the realistic, demanding tasks that separate competent work from confident-but-wrong.
Judging AI answers
Compare two AI outputs and say which is stronger, and why — your written reasoning is what the model learns from.
Common questions
How much does it pay?
Hourly and contractor-based, varying with seniority and role. Every role card shows its pay band. You invoice as an independent contractor and choose your hours.
Can I do this alongside my current job?
Yes — the work is flexible and part-time by design. Check your employer's policy on outside work first; ACJ can't advise on that.
Who is ACJ, and what's your part in this?
Applied Clinical Judgement is run by Sean Key. We connect qualified people to vetted AI-training platforms (Mercor, micro1, Turing), and Sean personally vouches for the people he refers. We're paid a referral fee by the platform on a successful placement — never by you.
How do I get started?
Find a role below that fits, and apply through the link — it carries Sean's referral. If you'd like him to vouch for you or talk it through first, book a short call.
Sean Key vouches for the people he refers
I’m Sean Key, editor of Applied Clinical Judgement. After 29 years in the NHS I help qualified professionals find legitimate, well-paid AI-training work — and I’ll personally vouch for you when you apply.
Applied Clinical Judgement is a referral intermediary, not an employer or recruiter. We refer candidates to third-party platforms (Mercor, micro1, Turing) and may earn a referral fee on a successful placement. We never charge candidates. Pay rates are set by the platforms and may change. PRAG-DEL-SOL-ONE LTD · Co. 07204925 · VAT 987-3626-64 · ICO ZC086000.