Anunciada dia A 11 h atrás
Missão do cargo
About Turing:
Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L
Role Overview:
The Scientific Reasoning & Discovery Engineer is responsible for creating high-quality reasoning datasets that evaluate and enhance the scientific reasoning capabilities of Large Language Models (LLMs). This role focuses on designing data-driven scientific discovery tasks that require models to analyze experimental or simulated observations, identify patterns, infer governing laws, estimate parameters, and predict outcomes. The ideal candidate possesses strong expertise in scientific methodology, quantitative analysis, and mathematical modeling, with the ability to develop rigorous, reproducible, and logically consistent evaluation tasks.
What does day-to-day look like:
- Designed scientific reasoning scenarios using experimental, observational, or simulated datasets.
- Authored multi-step tasks requiring data analysis, pattern recognition, parameter estimation, and predictive reasoning.
- Developed evaluation problems focused on law discovery, model selection, consistency checking, and hypothesis validation.
- Created reference solutions, deterministic answers, and detailed scoring rubrics for model assessment.
- Collaborated with reviewers and LLM engineers to ensure scientific accuracy, clarity, and reproducibility across datasets.
Required Qualifications:
- Demonstrated 3+ years of experience in physics domain.
- Applied strong knowledge of scientific reasoning, quantitative modeling, data analysis, and experimental methodologies.
- Utilized expertise in mathematical modeling, parameter estimation, dimensional analysis, and simulation-based problem solving.
- Communicated complex scientific concepts, assumptions, and solutions clearly through structured documentation.
- Evaluated reasoning quality with strong attention to logical consistency, ambiguity control, and reproducible outcomes.
Perks of Freelancing With Turing:
- Work in a fully remote environment.
- Opportunity to work on cutting-edge AI projects with leading LLM companies.
- Potential for contract extension based on performance and project needs.
Offer Details:
- Commitments Required : 4 hours of overlap with PST.
- Engagement type : Contractor assignment/freelancer (no medical/paid leave)
- Duration of contract : 8 weeks.
