We are a well-funded, early-stage AI lab focused on building the next generation of frontier multimodal AI models. Founded by former DeepMind researchers, including Andrew Dai, who was previously a leader on Gemini. Our team currently consists of 20 world-class scientists and engineers. We recently raised $55M in seed funding from Striker Ventures, Menlo Ventures, Altimeter Capital, and NVIDIA. We are tackling some of the hardest problems in artificial intelligence, and we are growing fast.
We are looking for a model safety contractor to support safety evaluation and/or safety training data work. This is a full-time contractor role estimated at 40hr/week.
Design and run safety evaluations on model outputs (jailbreak resistance, harmful content refusal, bias checks)
Produce or curate safety training data as needed
Document findings and flag risks clearly for the team
Recommend mitigations or follow-up work based on evaluation results
Requirements:
Experience with LLM safety evaluation, red-teaming, or safety data annotation
Familiarity with harm taxonomies and safety benchmarks
Strong written communication for documenting findings
Preferred qualifications (strong candidates may have some, not all):
Prior work at an AI lab, safety org, or academic safety research background
Experience with multimodal model safety specifically
Location: This role can be remote or on-site in Palo Alto, California.
Compensation: $75-125/hr, depending on experience
Elorian AI is an equal opportunity employer. We are committed to building a diverse team and inclusive environment.
Job details are sourced from the employer's original posting.
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Elorian is an AI company building intelligent solutions for enterprise workflows.