Senior Specialist / Manager, AI Safety Data and Evaluation Program (AI)

Location: Cambridge, MA or San Francisco, USA; London, UK; other location listed as Europe

Base salary: $88,000–$144,000 USD annually for U.S.-based positions. International salaries are set to local market.

Company

hirify.global builds AI systems and proprietary instruments designed to autonomously execute the scientific method and accelerate discovery across medicine, materials, and energy.

What you will do

• Translate scientific briefs into executable plans covering contributors, instructions, milestones, quality standards, and delivery expectations.
• Source and coordinate external experts with scientific colleagues and organize access to relevant internal expertise.
• Manage contributor onboarding, task assignment, training, and ongoing support.
• Run expert-data collection, annotation, red-teaming, and evaluation programs while tracking progress and resolving delivery issues.
• Establish quality controls for completeness, consistency, provenance, and rubric adherence, including calibration, review, disagreement resolution, and rework.
• Maintain versioned guidance and usable datasets, improve workflows, and escalate questions requiring scientific judgment.

Requirements

• Experience delivering expert-data, research-operations, evaluation, or similarly demanding programs involving specialist contributors.
• Strong working understanding of AI safety, including threat models, capability evaluations, red teaming, and safeguards.
• Evidence of applying AI safety knowledge in research, evaluation, or expert-data work.
• Strong operational judgment when managing dependencies, changing requirements, and parallel workstreams.
• Experience setting measurable quality standards, identifying recurring problems, and improving data-production processes.
• Clear communication, careful documentation, and sufficient technical and scientific fluency to work with researchers and subject-matter experts.

Nice to have

• Experience with scientific study design, scientific validity assessment, or evaluation-rubric development.
• Scientific or research expertise in biology, chemistry, or materials science.
• Experience with data analysis, scripting, annotation platforms, research-workflow tracking, or data provenance tools.

Culture & Benefits

• Startup-speed environment focused on scientific superintelligence and high-impact AI safety work.
• Full-time U.S. employees receive medical, dental, and vision coverage, employer-paid life and disability insurance, and flexible time off.
• Benefits include company-wide holidays, paid parental leave, educational assistance, commuter benefits, and subsidized lunch for office-based employees.
• Full-time employees outside the U.S. receive benefits tailored to their region.
• Compensation includes potential bonuses and early-stage equity.