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Psychology Quality Assurance Lead (QAL)

SME Careers • Remote

Education

PhD

Type

Hourly

Pay Rate

$80/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 Psychology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across psychology-focused AI training projects. You will review AI-generated psychology 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 psychological accuracy, theory application, research literacy, ethical awareness, mental-health safety, diagnostic caution, 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 psychology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality workflows across remote expert 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 psychology quality leadership will directly help improve the world’s premier AI models by ensuring that psychology training data is accurate, ethical, appropriately cautious, research-informed, 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.

Key responsibilities

  • Quality monitoring: Spot-check psychology items, identify quality issues, provide ongoing feedback through DMs, and escalate recurring or critical issues.
  • Psychology review: Evaluate AI-generated psychology explanations, mental-health content, research summaries, behavioral guidance, theory applications, and safety-sensitive responses for accuracy and appropriateness.
  • Trainer and QA communication: Update trainers and QAs on Discord about new item guidelines, project changes, workflow updates, quality expectations, and psychology-specific review standards.
  • Question handling: Respond to trainer/QA questions clearly and promptly, especially around psychological concepts, evidence quality, ethical boundaries, mental-health safety, diagnostic caution, 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 psychology 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 psychology-specific review requirements.
  • Quality alignment: Ensure all trainers and QAs apply psychology-review guidelines consistently and understand updates as projects evolve.
  • Safety and ethics review: Flag unsafe, overconfident, stigmatizing, pseudoscientific, diagnostically inappropriate, or crisis-insensitive psychology content.
  • Process improvement: Identify recurring quality gaps, propose workflow improvements, and help build scalable QA processes for psychology AI training projects.

Your profile

  • Bachelor’s, Master’s, PhD, PsyD, or equivalent professional background in Psychology, Clinical Psychology, Counseling, Behavioral Science, Cognitive Science, Neuroscience, Social Work, Psychiatry-adjacent research, Education, or a closely related field.
  • Strong grasp of the English language to follow project guidelines, communicate with teams, and provide clear written feedback.
  • 3+ years of experience in psychology research, clinical/counseling settings, behavioral science, teaching, academic writing, mental-health content review, psychological assessment, or related workflows.
  • Strong understanding of psychological theories, research methods, cognitive and social psychology, developmental psychology, abnormal psychology, ethics, evidence-based practice, and mental-health safety considerations.
  • Ability to evaluate psychology content against detailed rubrics and identify issues such as overdiagnosis, unsafe advice, unsupported claims, flawed study interpretation, pseudoscience, stigmatizing language, or inappropriate therapeutic recommendations.
  • Familiarity with areas such as CBT, developmental psychology, personality, trauma-informed communication, behavioral interventions, mental-health literacy, research design, statistics, and ethical guidelines is preferred.
  • Experience leading or supporting remote teams of researchers, clinicians, educators, reviewers, annotators, 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, calibration tasks, and documentation.
  • Experience with AI training, data annotation, LLM evaluation, psychology QA, mental-health content review, or rubric-based review 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 Psychology QAL role pays $80/hr to oversee quality across psychology-focused AI training projects. SME Careers accepts a Bachelor's through PhD or PsyD in psychology, clinical psychology, or behavioral science, plus three or more years of clinical, research, or teaching experience. The pay reflects that mental-health content carries real risk if reviewed carelessly, which is why the role asks for genuine clinical or research grounding rather than general psychology interest.

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Common questions

How does SME Careers pay freelancers?

Weekly, through Deel. Deel also handles tax compliance, which is how SME Careers pays contractors across more than 40 countries without running its own international payroll.

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.

What does task-based AI training work look like?

Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.

What does QA Testing work look like for a Psychology Quality Assurance Lead (QAL)?

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

What specific skills does this listing call for?

Clinical Psychology, Behavioral Science, Psychology, and Ethics 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 $80/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.