Role Description Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Editors Type: Contract Compensation: $60–$80/hour Location: Remote Duration: 3–4 weeks Commitment: 30–40 hours/week Role Responsibilities - Create deliverables addressing common requests within your professional domain. - Review peer-developed deliverables to improve AI research. - Work independently and asynchronously to meet deadlines while enhancing AI model performance. - Collaborate with AI research teams to improve training data quality and downstream performance. Qualifications - Must-Have: 4+ years professional experience in your respective field. - Excellent written communication with strong grammar and spelling skills. Requirements - Start Date: Immediately Application Process - Upload resume - AI interview based on your resume - Submit form Resources & Support - For details about the interview process and platform information, please check: Interview Process - For any help or support, reach out to: support@mercor.com - PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

• atuar ativamente no refinamento técnico, auxiliando a definir se uma tarefa está realmente pronta para execução (Definition of Ready). • colaborar na definição de Critérios de Aceite robustos junto ao time de Produto e Desenvolvedores. • escrever cadernos de teste completos e detalhados para as histórias de usuário. • garantir qualidade desde o início do ciclo de desenvolvimento, antecipando riscos e cenários críticos. • manter, evoluir e melhorar o framework de automação utilizando Playwright. • utilizar IA intensivamente no dia a dia para acelerar a criação de cenários de teste, geração de massa de dados, análise de defeitos e ganho de produtividade. • trabalhar com ferramentas de IA aplicadas ao desenvolvimento e testes, como Claude Code e assistentes de engenharia de software. • produzir e analisar testes de carga visando garantir performance e escalabilidade dos sistemas. • automatizar testes de APIs e integrações utilizando ferramentas como Postman. • integrar automações às pipelines de CI/CD, garantindo confiabilidade nas entregas. • planejar e executar Testes de Smoke (verificação rápida de integridade) em deploys críticos. • garantir a estabilidade do produto através de Testes de Regressão rigorosos, automatizados sempre que possível. • registrar, acompanhar e validar correções de defeitos, garantindo qualidade ponta a ponta. • atuar em conjunto com Desenvolvedores, Produto e DevOps para resolução rápida de incidentes e prevenção de recorrências.

• NQA-1 Lead Auditor participating in supplier qualification audits/surveys, implementation audits, and surveillances; • internal quality assurance audits, surveillances, and assessments; may lead or participate in causal analyses. • Develops, evaluates, maintains, and improves NuScale quality assurance program processes including writing instructions, procedures, and other requirement and guidance documents for the quality assurance program (10 CFR 50, Appendix B, NQA-1, ASME BPVC Section III, ISO 9001) • Reviews NuScale procedures for compliance with applicable requirements and regulations as identified through company quality manuals. • Reviews procurement documents to verify that all necessary and appropriate quality requirements are properly identified and flowed to suppliers/vendors. • Serves as a resource by providing guidance, support in the field of nuclear quality assurance and quality management systems to NuScale personnel. • Performs other duties as assigned.

Role Description The QA / DevOps Engineer owns platform quality, release reliability, and the AI-assisted engineering workflows our team uses to ship safely. - Owning CI/CD pipelines that gate releases against the AI failure modes that matter (eval regressions, groundedness drift, performance regressions). - Building observability around AI behavior in production — beyond standard infra metrics. - Designing test strategies for workflows that interact with physical hardware (simulator-first, hardware-on-demand). - Driving AI-assisted engineering practice: tooling, prompt review, and evaluation of AI code suggestions. Qualifications - 3+ years of combined QA and DevOps experience. - Owned a CI/CD pipeline end-to-end in production. - Hands-on production experience with AWS (preferred), Azure, or GCP. - Use AI-assisted engineering tools day-to-day (Cursor, GitHub Copilot, Claude Code, or similar). - Familiar with at least one observability stack (Elastic, Datadog, Splunk, Grafana, or similar). - API testing experience (Postman, REST-assured, or custom tooling). Requirements - Direct experience in software QA and modern testing workflows, including automation. - Working exposure to DevOps practices and CI/CD systems. - Familiarity with cloud platforms (AWS preferred; Azure or GCP also welcome) and deployment pipelines. - API testing and debugging experience (Postman, REST-assured, or custom tooling). - Strong troubleshooting and analytical skills. - Daily comfort with AI-assisted engineering tools (Cursor, GitHub Copilot, Claude Code, or similar) in QA and DevOps workflows. Benefits - Flexible / unlimited time off - Health insurance - Equity participation, discussed at offer - Fully remote - Architectural ownership of work that ships to real enterprise customers - Direct working relationships with the people setting platform strategy - A growth-stage platform where the decisions you make in your first year shape the product for years - AI-assisted tooling licensed by NetSpeek (Cursor, Claude Code, GitHub Copilot, or comparable)