AI Evaluation Specialist
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IT/Tech
AI Evaluation, AI Engineer (Applied/Software), Data Annotation/ AI Labeling
Job Description & How to Apply Below
Position contingent on contract award - details below are subject to change based on final award.
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services &Federal Solutions, LLC, a Chenega Professional Services’ company, is looking for a AI Evaluation Specialist. The AI Evaluation Specialist will evaluate enterprise AI tools and capabilities to determine their effectiveness, safety, usability, and readiness for business adoption. They’ll partner with product managers, data scientists, AI engineers, software engineers, security and privacy teams, and business stakeholders to define evaluation criteria and conduct structured assessments of generative AI products and platforms, including tools such as OpenAI and life sciences models like Rosalind.
They will design repeatable evaluation frameworks, test real-world use cases, analyze model and product behavior, and translate findings into clear recommendations. They will be responsible for comparing AI solutions across quality, accuracy, reliability, safety, privacy and security.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee’s knowledge, critical thinking, innovative solutions for our clients.
Responsibilities- Plan and execute hands‑on evaluations of AI tools such as OpenAI and life sciences models like Rosalind using representative business scenarios, workflows, prompts, datasets, and user personas.
- Assess AI solutions for response quality, factual accuracy, relevance, consistency, reasoning, instruction following, reliability, latency, usability, accessibility, and overall task effectiveness.
- Design and maintain standardized evaluation frameworks, scorecards, rubrics, and acceptance criteria for enterprise AI tools, models, agents, and AI‑enabled applications.
- Evaluate safety, privacy, security, data handling, governance, and responsible AI considerations in collaboration with security, privacy, legal, and governance stakeholders.
- Conduct comparative evaluations and proof‑of‑concept assessments across multiple AI products, models, configurations, and vendors, including analysis of functionality, integration requirements, performance, and cost.
- Evaluate AI agents and tool‑enabled workflows, including retrieval‑augmented generation (RAG), enterprise search, file and data analysis, connectors, APIs, and Model Context Protocol (MCP)‑enabled capabilities where applicable.
- Stay current with advancements in generative AI, model evaluation, AI safety, responsible AI, and emerging enterprise AI products and incorporate relevant methods into the evaluation program.
- Engage in knowledge sharing and contribute to building a strong, collaborative team environment.
- 5+ years of experience in model evaluation, model quality assurance with hands‑on experience evaluating AI‑enabled products or services
- Experience developing structured evaluation plans, test cases, scoring rubrics, benchmarks, and measurable acceptance criteria
- Experience with hands‑on generative AI tools and large language models, including prompt design, systematic testing, output analysis, and identification of hallucinations and other failure modes
- Experience assessing AI systems across dimensions such as accuracy, relevance, consistency, safety, bias, privacy, security, usability, performance, and cost
- Ability to demonstrate familiarity with common generative AI architectures and capabilities, including large language models, retrieval‑augmented generation (RAG), AI agents, APIs,…
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