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Member of Technical Staff, Frontier AI

RemoteJobsOne


Job Location:

Toronto - Canada

Yearly Salary: $ 600000 - 2000000
Posted: 24 September 2026 (Yesterday)
Application Deadline: 22 December 2026
Vacancies: 1 Vacancy

Job Summary

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This is a fully remote position open to candidates based in Canada.

Pay: $600000$2000000/yr

Job Title: Member of Technical Staff Frontier AI

Job Type: Full time

Location: Remote

The Role

Were 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.

Youll work closely with researchers domain experts and operators to ensure that experimental work produces clean defensible research signaland that this signal translates into meaningful improvements in deployed systems.

What Youll Do

  1. Own research and evaluation initiatives end-to-end: problem framing data design quality calibration and signal validation.
  2. Design ML-oriented data systems including task definitions annotation schemas rubrics incentives and pipelines optimized for downstream model performance.
  3. Analyze model and system failures to identify root causes edge cases and opportunities for improvement.
  4. Translate ambiguous real-world behavior into structured evaluation frameworks and new data categories.
  5. Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.
  6. Iterate rapidly on evaluations datasets and feedback loops to improve system performance.
  7. Act as a quality gate: block claims pause work or force scope changes when signal strength or data integrity is insufficient.
  8. Partner with cross-functional and client-facing teams to translate research progress into clear credible narratives grounded in evidence.
  9. Identify gaps in data or evaluation coverage and recommend where to invest iterate or stop based on learnings and impact.

What Were Looking For

  1. Strong judgment around research signal quality and when work is (or is not) ready to be externalized.
  2. Experience designing ML-oriented datasets evaluation frameworks and QA processes.
  3. Ability to translate messy real-world system behavior into structured research and evaluation opportunities.
  4. Comfort operating in ambiguity with a bias toward ownership and decisive action.
  5. Clear written and verbal communication especially when explaining tradeoffs limitations and signal strength to technical and non-technical stakeholders.
  6. Proven ability to work directly with experts during project kickoff calibration and iteration.
  7. A systems-level mindset with interest in improving end-to-end model or agent performance rather than isolated components.

Preferred

  1. Experience with reinforcement learning environments simulators or feedback-driven training systems.
  2. Experience improving agentic systems or AI systems operating in real-world workflows.
  3. Prior work embedded in applied research or production environments with direct impact on deployed systems.
  4. Experience with evaluation design for complex or real-world tasks.
  5. 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 $240000 $350000. All employees are eligible for equity compensation and employees may also receive performance-based bonuses dependent on role and subject to company policies. The company 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.

the company 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 us by replying to our email.

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. the company 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.

How to apply

Apply here with your profile. We will then email you a link to complete your application on the hiring platform your application is only considered once that final step is done.