In this hourly, remote contractor role, you will work as a Chemistry Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across chemistry AI training projects. You will review AI-generated chemistry 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 scientific accuracy, chemical reasoning, calculation correctness, reaction logic, unit consistency, safety awareness, 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 chemistry expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote technical teams.
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 largest AI companies and foundation-model labs. Your chemistry quality leadership will directly help improve the world’s premier AI models by ensuring that chemistry training data is accurate, logically sound, clearly explained, safety-aware, well-documented, and aligned with client expectations.
Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.
Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.
Requirements: - Bachelor’s, Master’s, or PhD degree in Chemistry, Chemical Sciences, Biochemistry, Materials Chemistry, Pharmaceutical Chemistry, or a closely related field. - Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear scientific feedback in English. - 3+ years of professional experience in chemistry research, laboratory work, teaching, scientific writing, technical review, quality control, formulation, analytical chemistry, or related workflows. - Strong understanding of core chemistry topics such as general chemistry, organic chemistry, inorganic chemistry, physical chemistry, analytical chemistry, biochemistry, thermodynamics, kinetics, equilibrium, stoichiometry, spectroscopy, and reaction mechanisms. - Ability to evaluate chemistry content against detailed rubrics and identify issues such as incorrect assumptions, flawed calculations, invalid reaction logic, missing units, unsafe recommendations, hallucinated facts, incomplete explanations, or misleading scientific claims. - Familiarity with common chemistry tools or workflows such as laboratory documentation, analytical methods, spectroscopy interpretation, chromatography, titration analysis, molecular structure interpretation, safety data sheets, chemical nomenclature, or scientific literature review is preferred. - Experience leading or supporting remote teams of trainers, annotators, reviewers, researchers, technical writers, educators, or QAs is strongly preferred. - Comfortable working in fast-moving remote environments using tools such as Discord, Google Sheets, Google Docs, trackers, dashboards, and project management systems. - Highly detail-oriented and organized, with the ability to maintain style guides, FAQs, trackers, onboarding materials, honeypots, calibration tasks, and other quality documentation. - Experience with AI training, data annotation, large language models, prompt/response evaluation, scientific content QA, or rubric-based LLM evaluation is a strong plus.