The company is looking to improve the accuracy and reasoning of large-scale language models by leveraging the expertise of STEM specialists to provide high-quality training data.
Requirements
- Bachelor's or master's degree in a STEM discipline (mathematics, physics, chemistry, engineering, data science, computer science, scientific computing)
- Published research, engineering design experience, data analysis projects, or coding portfolios
- Knowledge of topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling
Responsibilities
- Converse with advanced language models on real-world STEM problem-solving scenarios and theoretical technical questions
- Verify factual accuracy and logical soundness of model responses
- Capture reproducible error traces and suggest improvements to prompt engineering and evaluation metrics
- Challenge advanced language models on topics like thermodynamics, mechanics, calculus, statistics, materials science, electronics, algorithm design, and quantitative modeling
- Document every failure mode to harden model reasoning
Other
- Clear, metacognitive communication—'showing your work'
- Bachelor's or master's degree in a STEM discipline
- Contract employment type
- Remote workplace type
- Mid-Senior Level seniority level
- Secure computer and high-speed internet required
- Company-sponsored benefits such as health insurance and PTO do not apply