STEM Expert - Remote

YO AI Labs View all jobs
Austin, TX, United States
14 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Compensation
$149,760.0 - $156,000.0
Working hours
Shift work

Tech stack

Artificial Intelligence Data Analysis Computational Linguistics Python (Programming Language) Software Engineering

Job description

We are seeking STEM Experts to support an AI training project involving scientific reasoning, technical problem-solving, data analysis, and Python. No prior AI experience is required. Areas of Expertise

  • Chemistry
  • Biology
  • Mathematics
  • Physics
  • Earth / Geoscience / Environmental Science
  • Linguistics / Computational Linguistics
  • Robotics, * Solve complex scientific and technical problems within your expertise.
  • Review AI-generated solutions for accuracy and reasoning.
  • Identify errors, incorrect assumptions, and missing constraints.
  • Develop clear, reproducible reference solutions.
  • Use Python for calculations, simulations, and data analysis.
  • Validate numerical and analytical results.
  • Explain technical reasoning and corrections clearly., Location: Austin, TexasJob Type: ContractCompensation Range: $72 - 75 per hourClient User Experience and Design is responsible for software design across advisor services platforms…
  • 7 hours ago

Requirements

  • Strong expertise in at least one STEM/scientific domain
  • Python
  • Scientific & Quantitative Problem-Solving
  • Critical Reasoning & Error Detection
  • Data Analysis & Validation
  • Technical Communication, * Strong domain expertise in a relevant STEM field.
  • Practical Python proficiency.
  • Experience reviewing, validating, or troubleshooting technical work.
  • Ability to explain complex concepts clearly and accurately.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

1:22 min

Understanding software engineering as more than just coding

Lilia Gargouri Lilia Gargouri · World Congress 2026 Europe

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · World Congress 2026 Europe

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