
Turn scientific expertise into smarter AI
Join a remote STEM project. Design research-level challenges that train next-gen AI. Earn up to $6,000+/month.

Turn scientific expertise into smarter AI
Join a remote STEM project. Design research-level challenges that train next-gen AI. Earn up to $6,000+/month.

Turn scientific expertise into smarter AI
Join a remote STEM project. Design research-level challenges that train next-gen AI. Earn up to $6,000+/month.
About the project
About the project
Professionals in various STEM domains contribute their expertise to help advance AI systems that reason through complex scientific problems. Experts on this project design challenges, build reasoning chains, and verify outputs using Python.
Project details
Up to $6,000+/month
Flexible remote project
Research-level AI tasks
Performance bonus up to 20%
How you might contribute
How you might contribute
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Mathematics
Design a problem requiring the AI to compute sharp constants in Fourier approximation bounds, then verify convergence through numerical optimization in Python.
Biology
Construct a DNA sequence alignment challenge with iterative transformations and affine-gap scoring, then confirm the AI's dynamic programming solution is correct.
Engineering
Create a battery degradation simulation coupling thermal feedback, capacity fade, and state-of-health estimation, then verify each step computationally.
Physics
Build a multi-step challenge around bound-state energies in a quantum well with discontinuous parameters, and validate boundary conditions and eigenvalue accuracy.
Computer Science
Formulate a distributed query estimation problem across partitioned databases and check whether the AI correctly handles shard alignment, filters, and join logic.
Earning potential
Project duration is ~2 months. All numbers are approximated.
Final pay depends on completed tasks.
10 hours per week
(80 hours in total)
20 hours per week
(160 hours in total)
40 hours per week
(320 hours in total)
Up to $3,000
Up to $6,000+
Up to $12,000+
Referral program
Get up to $300 for every STEM expert you bring in
Performance bonus
Up to 20% extra pay. Based on 10hr min weekly participation, quality and complexity
Current opportunities
How it works
1
Apply
Indicate your domain and experience
2
Qualify
Complete a domain-specific assessment
3
Onboard
Get access to the platform
Get access to the platform
4
Earn
Complete tasks on your own schedule
Frequently
asked questions
Frequently asked questions
What STEM domains do you need?
What will I do?
How much can I earn?
Do I need a PhD?
Do I need Python?
Is this freelance?
What's Mindrift
What's Mindrift
Mindrift connects domain experts with AI training projects. Contribute remotely, choose your schedule, help build AI that understands science.
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AI training opportunities open regularly —
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AI training opportunities open regularly —
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© 2026 Toloka AI BV
© 2026 Toloka AI BV