Catalog updated: . Page 6 of 6; 104 listings in this area.
Catalog order, without personalized ranking. Compare requirements with the person’s stated experience, education, skills, working languages and country. Unknown requirements are not proof of eligibility. Follow the actual page links below for more roles.
Remote work is listed. Eligible countries: Australia, Brazil, Canada, Germany, United Kingdom, India, New Zealand, United States. All listed country and residence restrictions must be satisfied.
Experience
Minimum not listed
Education
Master’s degree
Named languages
English
Listed skills
laser physics, experimental physics, nuclear physics, theoretical physics, research, physics, reasoning, english, computational physics, medical physics, classical mechanics, electromagnetism, optics, thermodynamics, statistical mechanics, quantum mechanics, mathematical physics, physical modeling, systems thinking, numerical methods, scientific computing, data analysis, python, matlab, c++, scientific writing, analytical writing, peer reviewed publishing, literature review, fact checking, research methods, problem solving, critical thinking, technical communication, content development, proofreading editing, peer review, ai model evaluation, data labeling
We’re seeking physicists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check physics information; write high-quality physics explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on physics correctness and reasoning quality. Requirements: You hold an MS or PhD in Physics or a related field in one of the top 100 universities. Confident in physical reasoning, mechanics, electromagnetism, optics, thermodynamics/statistical mechanics, and modeling/systems thinking You have developed or critically reviewed complex physics content (e.g., problem banks,…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: India, United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
thermodynamics, mechanics, physics qa, scientific review, physics, electromagnetism, ai training, trainer feedback, quantum mechanics, llm evaluation, quality assurance qa, rubric based evaluation, technical review, scientific writing, academic peer review, classical mechanics, optics, waves and oscillations, statistical mechanics, relativity, dimensional analysis, units and measurement, mathematical modeling, numerical methods, data analysis, simulation, scientific visualization, laboratory techniques, python, matlab, wolfram mathematica, latex, google sheets, google docs, discord, project management
In this hourly, remote contractor role, you will work as a Physics Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across physics AI training projects. You will review AI-generated physics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for scientific accuracy, physical reasoning, calculation correctness, unit consistency, formula use, conceptual clarity, experimental understanding, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
public policy, ai training, international relations, comparative politics, political science, political theory, governance, bias review, trainer feedback, llm evaluation, political institutions, electoral systems, political behavior, democracy authoritarianism, political economy, public administration, constitutional law, security studies, conflict studies, international organizations, policy analysis, policy evaluation, survey research, qualitative research, quantitative analysis, academic writing, editing proofreading, fact checking, rubric based evaluation, quality assurance, bias detection, team leadership, google sheets, google docs
In this hourly, remote contractor role, you will work as a Political Science Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across political science AI training projects. You will review AI-generated political science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for conceptual accuracy, institutional knowledge, comparative context, political theory accuracy, policy reasoning, source awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong political science expertise, strong English communication skills, excellent…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
ai training, trainer feedback, inequality, sociology, social theory, culture, llm evaluation, institutions, research methods, social research, sociological theory, social research methods, qualitative research, quantitative research, survey research, interviewing, ethnography, statistical analysis, demography, social policy analysis, urban sociology, family sociology, criminology, inequality stratification, race ethnicity studies, gender studies, health disparities research, education research, organizations work, community based research, academic writing, peer review, rubric based evaluation, quality assurance, content review, bias detection, research ethics, team leadership, ai training data annotation
In this hourly, remote contractor role, you will work as a Sociology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across sociology-focused AI training projects. You will review AI-generated sociology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for sociological accuracy, theory application, research literacy, social context, methodological rigor, ethical awareness, bias sensitivity, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong sociology expertise, strong English communication skills, excellent attention to detail, structured…
Posting and first-found dates unavailable. Latest source refresh: updated.