Ufinity Ventures
Website:
ufinity.in
Job details:
Member of Technical Staff, Frontier AI
Company: micro1
Employment Type: Full-time
Location: Remote
Openings: 1
Base Salary: $180,000–$320,000 annually*
Ufinity Ventures is sharing a full-time career opportunity with micro1 for a Member of Technical Staff (MTS), Frontier AI.
This is a core technical role for an experienced professional who can operate at the intersection of AI research, data, evaluation, and real-world AI systems.
The selected professional will act as a technical owner responsible for improving model and system performance through rigorous evaluation, failure analysis, data design, and iterative development.
You will work closely with researchers, domain experts, operators, and cross-functional teams to ensure experimental work produces clean and defensible research signals—and that those signals translate into meaningful improvements in deployed AI systems.
What You'll Do
- Own research and evaluation initiatives end-to-end, including problem framing, data design, quality calibration, and signal validation.
- Design machine-learning-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 behaviors into structured evaluation frameworks and new data categories.
- Work closely with researchers and domain experts to calibrate quality early and continuously improve research-signal quality.
- Rapidly iterate on evaluations, datasets, and feedback loops to improve system performance.
- Act as a quality gate by challenging claims, pausing work, or recommending scope changes when research signals or data integrity are insufficient.
- Partner with cross-functional and client-facing teams to translate research progress into clear and credible narratives grounded in evidence.
- Identify gaps in data and evaluation coverage and recommend where to invest, iterate, or stop based on learnings and impact.
What We're Looking For
- Strong judgment regarding research-signal quality and the ability to determine when work is—or is not—ready to be externalized.
- Experience designing ML-oriented datasets, evaluation frameworks, and quality-assurance processes.
- Ability to translate messy, real-world system behavior into structured research and evaluation opportunities.
- Ability to operate effectively in ambiguous environments, with a strong bias toward ownership and decisive action.
- Excellent written and verbal communication skills, particularly when explaining technical trade-offs, limitations, and signal strength to both technical and non-technical stakeholders.
- Proven ability to work directly with experts throughout project kickoff, calibration, and iteration.
- A systems-level mindset with an interest in improving end-to-end model or agent performance, rather than focusing solely on isolated components.
Preferred Experience
The following experience would be particularly valuable:
- Experience with reinforcement learning environments, simulators, or feedback-driven training systems.
- Experience improving agentic systems or AI systems operating within 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 expert engagement in high-stakes technical projects.
Compensation & Benefits
The stated national base salary range for this full-time position is $180,000–$320,000.
Employees may also be eligible for:
- Equity compensation.
- Performance-based bonuses, depending on role and company policies.
- Health-insurance benefits, including reimbursement support.
- Paid time off.
- 401(k) plan with company match.
- Additional benefits designed to support a high-performing, remote-first workforce.
*The job listing also displays a $100–$130/hour range. Candidates should refer to the official application page for the applicable compensation structure and final employment terms.
Hiring Process
micro1 utilizes artificial intelligence tools to assist with candidate screening and assessment. These tools are intended to support the hiring process and do not replace human decision-making.
Final selection, employment terms, compensation, and hiring decisions are determined directly by micro1.
Equal Opportunity
micro1 is an equal opportunity employer. Qualified applicants are considered for employment without regard to protected characteristics under applicable laws and regulations.
Candidates requiring assistance or reasonable accommodation during the application process should follow the instructions provided by micro1 through its official application process.
How to Apply
Interested candidates can click Apply to review the complete position and submit their application directly to micro1 through its official application portal.
- This is a full-time position with micro1, and the application, assessment, selection, and employment process is handled directly by micro1.
Click on Apply to know more.
