PhD-level biologists will write expert prompts, evaluate and annotate AI model responses for scientific accuracy and safety, and apply structured guidelines to classify prompts and conversations. Part-time, immediate start.
About the role
We're hiring PhD‑level biologists to help make advanced AI models safer. You'll apply your scientific expertise to evaluate and strengthen how these models handle specialized life‑science topics. No prior AI/ML experience is required.
What you'll do
- Write expert‑level prompts across specialized life‑science topics.
- Evaluate and annotate model responses for scientific accuracy, helpfulness, and appropriate handling of sensitive content.
- Apply structured guidelines to classify prompts and conversations.
What we're looking for
- A PhD in biology or a closely related life‑science field
- Deep familiarity with modern laboratory and computational techniques in your subfield.
- Strong scientific reasoning and writing in English.
- Sound judgment around biosecurity and the responsible handling of dual‑use information.
Nice to have
- Research or coursework touching on biosafety/biosecurity, pathogen biology, or gain‑of‑function considerations.
- Experience reviewing, grading, or red‑teaming technical content.
Project Timeline
- Start date: Immediate
- Commitment: Part‑time (15–25 hours/week, with flexibility up to 40 hours/week)
Similar Jobs
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Lead the Ranking & Relevance team of software and machine-learning engineers. Own retrieval, ranking, recommendation, and personalization systems that match patients with therapists. Drive the transition from filter-based matching to outcome-aware machine learning, establish shared marketplace objectives, improve experimentation and model monitoring, and build evaluation and drift-detection capabilities. Hire and develop engineers, set technical standards, and partner with product, data science, payer, and provider engineering teams in a sensitive healthcare domain.
Top Skills:
Ai Coding ToolsFeature PipelinesInformation RetrievalLearning-To-RankMachine LearningOnline ExperimentationPersonalization SystemsRecommendation Systems
37 Minutes Ago
Easy Apply
Easy Apply
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Leads Motive’s internal communications strategy, narrative, and cadence across company-wide forums, executive messaging, video, Slack, intranet, email, and other channels. Advises executives, supports crisis and change communications, aligns internal and external messaging, measures employee sentiment, and improves engagement programs. The role also partners with Corporate Communications, Legal, and People teams and mentors communications talent while remaining an individual contributor.
Top Skills:
Ai-Enabled ToolsEmailIntranetSlackVideo Communications
Computer Vision • Digital Media • Kids + Family • Mobile • Software • Sports
Lead GameChanger's Information Security and Technology organization, owning strategy, roadmaps, and teams across product/cloud/AI security, security operations, GRC, vulnerability management, and internal IT. Partner with engineering, product, legal, and parent-company security to manage risk, incident response, and secure adoption of AI while supporting a remote-first workforce.
Top Skills:
AWSNist Ai RmfNist Csf 2.0
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
