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Chemistry Quality Assurance Lead (QAL)

SME Careers • Remote

Education

PhD

Type

Hourly

Pay Rate

$75/hr

Listed

53d ago

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What We Know About This Role

Interview
Required i As stated in the listing: “Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.”

About this role

From the SME Careers listing

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.

Key responsibilities

  • Quality monitoring: Spot-check chemistry items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
  • Scientific review: Evaluate AI-generated chemistry explanations, calculations, reaction mechanisms, laboratory reasoning, nomenclature, diagrams/descriptions, and problem-solving steps for correctness and clarity.
  • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and chemistry-specific review standards.
  • Question handling: Respond to trainer/QA questions clearly and promptly, especially around chemical reasoning, units, formulas, reactions, mechanisms, safety concerns, terminology, and rubric interpretation.
  • Trainer/QA activation management: DM contributors who are inactive or not working, encourage activation, track follow-ups, and flag availability issues when needed.
  • Documentation: Create and maintain chemistry project documentation, including style guides, trackers, FAQs, quality notes, examples, honeypots, calibration tasks, and onboarding materials.
  • Onboarding and training: Schedule and run onboarding/training calls with trainers and QAs to explain project expectations, workflows, rubrics, quality standards, and chemistry-specific review requirements.
  • Quality alignment: Ensure all trainers and QAs apply chemistry guidelines consistently and understand updates as projects evolve.
  • Risk and safety review: Flag unsafe, misleading, or overconfident chemistry recommendations, especially where chemical handling, reactions, lab procedures, hazardous substances, dosing, environmental impact, or health/safety may be affected.
  • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for chemistry AI training projects.

Your profile

  • 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.

🌍 Geographic Availability This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.

💰 Pay Rate May Vary Based on Your Location Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.

If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.

How long hiring takes

Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.

Within 2 weeks
~25%
Within 6 weeks
~60%
Within 3 months
~80%

Why this role

This Chemistry Quality Assurance Lead role pays $75 per hour to oversee AI-generated chemistry content, checking calculation correctness, reaction logic, and unit consistency alongside safety awareness. Stoichiometry and reaction-mechanism errors are easy for a non-chemist to miss even when the surrounding explanation reads convincingly, which is the gap this role is meant to close. It fits someone with real chemistry training who reviews technical writing for both the math and the underlying reaction logic.

Talent pool

We're light on STEM candidates

We've matched 65 people with a STEM background against 726 STEM listings we've tracked, so most go out without one. Set up a profile and we'll consider you for a role like this one.

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Common questions

Is SME Careers work ongoing or project-based?

Project-based. Assignment duration and availability vary by project, but consistently high-quality work earns priority access to whatever comes next.

Does SME Careers offer a path for advancement?

Yes. SME Careers is unusual among AI training platforms for this: it publishes an explicit career ladder, Data Trainer, then Quality Analyst, then QA Lead, then Project Manager. Consistent, high-quality work is what moves you up it.

Is academic-niche AI training just data labeling?

No, it's closer to academic research. Expect to write or verify complex proofs, solve advanced equations, or check the logic behind a model's step-by-step reasoning. The goal is teaching AI systems to reason deeply within your specific field.

Do I need a PhD for academic-niche AI training roles?

For the top pay tiers, a PhD or current enrollment is usually expected. But the domain assessment is what decides it: if you can solve the problems, the degree becomes secondary.

What does STEM work look like for a Chemistry Quality Assurance Lead (QAL)?

Tasks here are scoped to STEM, not generic labeling. As a Chemistry Quality Assurance Lead (QAL), expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to STEM) rather than following a one-size-fits-all rubric. If you don't have hands-on STEM background, this is likely not the right listing to start with.

What specific skills does this listing call for?

AI Training, Chemistry QA, Chemistry, and Chemical Reasoning are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.

How much does this specific role pay?

This listing is posted at $75/hr, a per-task rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.

What happens when I click Apply on this listing?

You'll be taken to SME Careers's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.

Is a PhD required?

For this specific role, yes, or near-equivalent professional depth. The credential gate is enforced at the assessment stage, not just on paper. That said, active PhD candidates and people with equivalent published research have qualified without a formal degree. The assessment is the real filter.

Is there an interview?

Yes. Selection process involves an AI interview, a domain-specific task, and an interview with a recruiter.

Who is behind SME Careers?

SME Careers is the expert talent division of SuperAnnotate, an AI data infrastructure platform, connecting domain experts with high-level AI training projects.