Formal Methods and Computational Science Research Scientist
OpenTrain AI, Inc.
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Descrizione del lavoro
OpenTrain AI, Inc. is seeking a Formal Methods and Computational Science Research Scientist for a remote, part-time contract. A PhD and 10+ years in the field are required; fluent English, and 20+ hours per week.
This role focuses on designing difficult problems, writing reference solutions and rubrics, and reviewing AI-generated answers with precise feedback. The work is remote, US-based, with asynchronous communication and no production engineering duties.
Competenze
- A PhD or doctorate in a relevant scientific or computational field.
- At least 10 years in your field, with current or recent hands-on work.
- Strong written English for technical explanations and structured feedback.
- Work independently, asynchronously, and remotely.
- Time: 20+ hours per week.
Mansioni
- Help evaluate how AI models handle difficult problems in formal methods, computational science, or a relevant scientific field.
- Design realistic technical scenarios and problem sets in your area of expertise.
- Write expert-level reference solutions and grading rubrics.
- Review AI-generated answers for correctness, depth, and sound use of subject knowledge.
- Explain your technical judgments in clear, structured feedback.
Conoscenze
Formazione
Descrizione del lavoro
Design expert scientific problems, reference solutions, and grading rubrics, then assess AI answers. This remote contract role requires a doctorate, 10+ years of experience, fluent English, and 20+ hours per week.
Remote Hourly pay
Hourly
Compensation
Contract, part-time
Engagement
Remote
Location
Posted
Open in 95 countries
United States + more
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
Help evaluate how AI models handle difficult problems in formal methods, computational science, or a relevant scientific field. The focus is on research, technical judgment, and clear written feedback, not production engineering.
- Design realistic technical scenarios and problem sets in your area of expertise.
- Write expert-level reference solutions and grading rubrics.
- Review AI-generated answers for correctness, depth, and sound use of subject knowledge.
- Explain your technical judgments in clear, structured feedback.
- Education: A PhD or doctorate in a relevant scientific or computational field.
- Experience: At least 10 years in your field, with current or recent hands‑on work.
- Expertise: Formal methods, computational science, mathematics, physics, chemistry, or biology.
- Communication: Strong written English for technical explanations and structured feedback.
- Work style: Able to work independently, asynchronously, and remotely.
- Time: 20+ hours per week.
- Location: Remote, but open only to candidates in eligible countries; the role is not worldwide.
- Employment type: Part‑time contractor.
- Pay: Not specified in the role details.
Research publications, open‑source contributions, recognized work in your field, or experience reviewing technical work are useful.
- Relevant review work may include peer review, code review, grading, or editing.
- Specialist experience may include formal methods or theorem proving with Lean or Coq, computational biology or genomics, or condensed‑matter or quantum physics.
AI training is human work that helps AI models learn from examples and feedback. This role uses expert‑written problems and reviews of model answers, where deep subject knowledge helps judge whether the reasoning is sound.
Location
100% remote
United States + more
- Albania
- Algeria
- Antigua and Barbuda
- Armenia
- Australia
- Austria
- Bahamas
- Bahrain
- Belgium
- Benin
- Bhutan
- Bosnia and Herzegovina
- Botswana
- Brunei
- Bulgaria
- Canada
- Costa Rica
- Côte d’Ivoire
- Croatia
- Cyprus
- Czechia
- Denmark
- Ecuador
- El Salvador
- Estonia
- Ethiopia
- Finland
- France
- Gambia
- Germany
- Greece
- Guatemala
- Guyana
- Hong Kong
- Hungary
- Iceland
- India
- Indonesia
- Ireland
- Israel
- Italy
- Jamaica
- Jordan
- Kenya
- Kuwait
- Latvia
- Liechtenstein
- Lithuania
- Luxembourg
- Madagascar
- Malaysia
- Malta
- Mauritius
- Mexico
- Moldova
- Mongolia
- Morocco
- Mozambique
- Namibia
- Netherlands
- New Zealand
- North Macedonia
- Norway
- Oman
- Pakistan
- Panama
- Peru
- Philippines
- Poland
- Portugal
- Qatar
- Romania
- Rwanda
- Saint Lucia
- Senegal
- Serbia
- Singapore
- Slovakia
- Slovenia
- South Africa
- Spain
- Sri Lanka
- Sweden
- Switzerland
- Taiwan
- Tanzania
- Thailand
- Trinidad and Tobago
- Tunisia
- Türkiye
- United Arab Emirates
- United Kingdom
- United States
- Uzbekistan
- Vietnam
Pay
Hourly pay
Languages
Engagement
Contract, part‑time
Generative AI & RLHF
Data type
Text
Evaluation Rating, Text Generation, Question Answering
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