micro1 career
Member of Technical Staff, Frontier AI at micro1
A technical owner role that improves AI models and systems through evaluation and failure analysis. The person frames problems, designs annotation schemas and data pipelines, calibrates quality with domain experts, and can pause work or limit claims when the evidence is weak. It matters because it keeps research signal clean and ties it to real improvements in deployed systems.
Referral link. If micro1 hires you through this link and you meet its conditions, we may be paid a referral fee.
What you would do
- Own evaluation initiatives from problem framing and data design to signal validation
- Design task definitions, annotation schemas, rubrics, and data pipelines for model performance
- Analyze model and system failures to find root causes and edge cases
- Act as a quality gate when signal strength or data integrity falls short
What the listing asks for
- Strong judgment about research signal quality and readiness to share results
- Experience designing ML datasets, evaluation frameworks, and QA processes
- Comfort with ambiguity and a bias toward ownership
- Clear communication of tradeoffs and limitations to technical and non-technical stakeholders
- Preferred: reinforcement learning environments, agentic systems, or expert incentive design experience
Suits professionals who care about evidence quality, enjoy working with domain experts, and are willing to say when results are not ready.
The listing as micro1 posted it
This is micro1's public listing for the role, read October 29, 2026, with dashes and placeholder links cleaned up. The listing is micro1's text; the summary above and everything below it is ours.
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 $240,000-$350,000. 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.
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.
Referral link. We may be paid a referral fee.
Pay and terms
The listing states $240,000 to $350,000 a year. That is the compensation micro1 published for this full-time role, not an offer. On extras, the listing says: Eligible for equity compensation and possible performance-based bonuses, plus health-insurance premium reimbursement up to 100%, paid time off, and a 401(k) with company match.
This is an employee role on micro1's own team. The payment terms on our expert pages (USD twice a month through Deel) describe micro1's contractor experts, and the listing does not say they apply here, so rely on the offer you receive. Read our micro1 review for what workers say about the company.
Before you apply
These are employee roles on micro1's own team, hired through its recruiting process, which can differ from the expert interview and certification route. Follow the steps in the listing and have your resume and a short note on your most relevant work ready.
Apply through the listing on micro1's site and follow the process it describes. Our how to become an AI trainer guide covers the expert contractor route (AI interview, certification, matching), which may not be how micro1 hires for its own team.
Referral link. We may be paid a referral fee.
People also ask
What does "technical staff" mean?
At micro1, this listing uses Member of Technical Staff for a full-time, remote technical owner role that sits between research, data, and deployed AI systems. The work it describes is evaluation and failure analysis, designing annotation schemas and data pipelines, and acting as a quality gate that can pause work when the evidence is weak. Read the listing itself for what the title covers here.
How much do members of technical staff make?
This site does not publish market salary data for technical staff titles and gives no general figure. This micro1 listing states a national base salary range of $240,000 to $350,000 a year. It also says employees are eligible for equity compensation and may receive performance-based bonuses, with paid time off, a 401(k) with a company match, and reimbursement of up to 100% of health insurance premiums. The offer itself governs.
How much does the Member of Technical Staff, Frontier AI role at micro1 pay?
The listing states $240,000 to $350,000 a year. That is the compensation micro1 published for this full-time role. On extras, the listing says: Eligible for equity compensation and possible performance-based bonuses, plus health-insurance premium reimbursement up to 100%, paid time off, and a 401(k) with company match. Check the listing for the current figure and for anything it does not spell out, such as equity or benefits.
Is the Member of Technical Staff, Frontier AI role remote?
Yes. The listing describes it as remote work. On where you can be based, it says: remote. Read the eligibility line on the listing before you apply.
How do I apply for the Member of Technical Staff, Frontier AI role?
Open the listing on micro1's site and apply there, then follow the process the listing describes. This is an employee role on micro1's own team. The AI interview, certification and project matching in our how to become an AI trainer guide are the route for expert contractors and may not be how micro1 hires for this role.
Is this listing still open?
We read micro1's public listing on October 29, 2026. Roles close without notice, so confirm on the listing itself. If it has closed, the other careers at micro1 roles on this site are linked below.
Related roles at micro1
More careers at micro1
Related roles in other fields
All careers at micro1 · Every open micro1 role · Also browse remote software engineer jobs, remote finance and accounting jobs, remote HR, operations and consulting jobs
Related guides
Sources and method
- micro1 public job listing for this role, read October 29, 2026. The summary, task and requirement lines are our paraphrase of that listing.
- The questions under People also ask: Google's related questions for this kind of role in the United States, as reported by Ahrefs, pulled October 29, 2026. Answers are ours, written from the listing and from our own sourced micro1 pages.
Listings change without notice. If this page is out of date, tell us.
Referral link: we may be paid if micro1 hires you.