Quality Analyst

Candidates typically undergo a brief screening call followed by a technical QA assessment that tests their ability to identify errors and provide feedback. The final round is an HR conversation focused on cultural fit and remote work readiness. Interviews are concise, with an emphasis on practical scenarios rather than theoretical questions.

Round 1: Screening → Round 2: Technical QA test → Round 3: HR

Mercor fosters a collaborative, remote-first culture where contributors can work flexibly while engaging with a global team. Growth opportunities are abundant, with clear pathways from contract roles to full‑time positions. The company emphasizes work‑life balance, offering autonomy and the chance to impact cutting‑edge AI projects.

Bachelor’s degree in any discipline. Ability to work independently and communicate clearly in English.

Mercor is a leading partner of top AI labs and enterprises, dedicated to training frontier models through human expertise. The company collaborates with research teams to refine AI systems, ensuring that the data used for training is accurate, consistent, and reliable. With a focus on cutting‑edge technology, Mercor offers a dynamic environment where remote contributors can directly influence the quality of AI outputs that power tomorrow’s applications. The Quality Analyst role is a contract‑based position that plays a pivotal part in maintaining high standards across Mercor’s projects. As a QA analyst, you will review work products against defined rubrics, identify errors, inconsistencies, and gaps, and provide structured feedback to contributors and stakeholders. Your insights will help surface recurring issues, refine quality processes, and improve evaluation criteria, ultimately ensuring that the data fed into AI models meets the company’s stringent quality benchmarks. Key responsibilities include: 1. Reviewing deliverables against quality standards and rubrics. 2. Documenting errors, inconsistencies, and gaps with clear evidence. 3. Providing actionable, constructive feedback to contributors. 4. Tracking quality metrics and reporting trends. 5. Collaborating asynchronously with a distributed team across time zones. 6. Refining checklists and evaluation criteria based on emerging patterns. 7. Assisting in the development of new quality assurance workflows. 8. Maintaining a quiet, focused workspace with reliable internet. 9. Adhering to evolving standards in a fast‑moving environment. 10. Supporting cross‑functional teams with data annotation and content review. While the role does not require a specific tech stack, familiarity with data annotation tools, content review platforms, and basic spreadsheet skills is advantageous. The position offers a flexible schedule, competitive hourly rates, and the opportunity to work on high‑impact AI projects from anywhere. Growth path: Successful contractors can transition to full‑time QA or product roles, or move into specialized domains such as AI ethics, data labeling, or project management within Mercor’s expanding portfolio. Why join? You’ll be part of a forward‑thinking organization that values quality, offers competitive pay, and provides a platform to shape the next generation of AI systems. The remote nature of the role allows you to balance work and life while contributing to meaningful, global projects.