Outras áreas
Member of Technical Staff, Frontier AI - vaga remota
micro1
Member of Technical Staff, Frontier AI - Outras áreas, remoto
A empresa micro1 está com uma vaga aberta de Member of Technical Staff, Frontier AI: nível de liderança, com responsabilidade sobre uma equipe ou sobre uma área inteira. A posição fica na área de Outras áreas e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.
A empresa publicou a remuneração: $180k - $320k por ano. O anúncio não impõe condição nenhuma de horário.
Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.
Em resumo
- Empresa
- micro1
- Área
- Outras áreas
- Quem pode se candidatar
- De qualquer país do mundo
- Formato de trabalho
- Totalmente remota
- Remuneração
- $180k - $320k por ano
- Nível
- Liderança
- Tipo de contrato
- Tempo integral
- Publicada
- 16 de agosto de 2026 (há 9 dias)
- Ativa
- até 3 de outubro de 2026
- Fonte
- Himalayas
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Descrição da empresa
Job Title: Member of Technical Staff, Frontier AI Job Type: Full time Location: Remote
The Role We’re hiring a Member of Technical Staff (MTS) to act as a technical owner operating at the intersection of research, data, and real-world AI systems. This is a hands-on role focused on improving model and system performance through rigorous evaluation, failure analysis, and iterative development. You’ll work closely with researchers, domain experts, and operators to ensure that experimental work produces clean, defensible research signal-and that this signal translates into meaningful improvements in deployed systems. What You’ll Do
* Own research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.
* Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.
* Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.
* Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.
* Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.
* Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.
* Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.
* Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.
* Identify gaps in data or evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.
What We’re Looking For
* Strong judgment around research signal quality and when work is (or is not) ready to be externalized.
* Experience designing ML-oriented datasets, evaluation frameworks, and QA processes.
* Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.
* Comfort operating in ambiguity, with a bias toward ownership and decisive action.
* Clear written and verbal communication, especially when explaining tradeoffs, limitations, and signal strength to technical and non-technical stakeholders.
* Proven ability to work directly with experts during project kickoff, calibration, and iteration.
* A systems-level mindset, with interest in improving end-to-end model or agent performance rather than isolated components.
Preferred
* Experience with reinforcement learning environments, simulators, or feedback-driven training systems.
* Experience improving agentic systems or AI systems operating in real-world workflows.
* Prior work embedded in applied research or production environments with direct impact on deployed systems.
* Experience with evaluation design for complex or real-world tasks.
* Familiarity with expert incentive design and engagement in high-stakes technical projects.
Compensation & Benefits Notice The national pay range for this full-time position is base salary of $180,000 -$320,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to . Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. Disclaimer The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations. Originally posted on Himalayas
O texto permanece no idioma original da empresa, porque é nesse mesmo idioma que você vai se candidatar.
Perguntas frequentes sobre esta vaga
Posso me candidatar à vaga de Member of Technical Staff, Frontier AI de onde eu moro?
Sim. Para esta vaga, micro1 aceita candidatos de qualquer país do mundo, então você não precisa de autorização de trabalho de outro país. O anúncio passou por uma verificação automática: se a empresa exigisse autorização de trabalho, patrocínio de visto ou residência em um país específico, ele não estaria neste quadro.
Qual é a remuneração informada?
A empresa informou $180k - $320k por ano. É o valor bruto, como está publicado no anúncio.
Como eu me candidato?
Você se candidata diretamente à empresa, pelo anúncio original publicado em Himalayas. Donator não recebe candidaturas, não cobra comissão e não guarda currículos.
Que tipo de vaga é esta?
Uma vaga totalmente remota na área de Outras áreas. Anúncios híbridos e tudo o que exige presença no escritório não são publicados neste quadro.
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