AI Evaluation Specialist

Chenega Services & Federal Solutions

Oregon

Hybrid

USD 102,000 - 120,000

Full time

8 days ago

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Benefits offered by this job

PTO

Holidays

Medical

Dental

Vision

401k

Voluntary Benefits

Life Insurance

Commuter Benefits

Legal Insurance

Job summary

Chenega Services & Federal Solutions is seeking an AI Evaluation Specialist to assess enterprise AI tools and platforms for effectiveness, safety, and readiness for business adoption. The role collaborates with product managers, data scientists, and security teams to design evaluation criteria, develop frameworks, and deliver actionable recommendations.

The position emphasizes evaluating OpenAI tools and life sciences models like Rosalind, with a focus on quality, safety, privacy, and cost.

Qualifications

5+ years of experience in model evaluation and QA 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, enterprise search, and tool or connector integrations.
Bachelor's degree

Responsibilities

Plan and execute hands-on evaluations of AI tools using representative business scenarios, prompts, datasets, and user personas.
Assess AI solutions for quality metrics such as accuracy, relevance, and safety.
Design and maintain evaluation frameworks, scorecards, rubrics, and acceptance criteria.
Collaborate with security, privacy, legal, and governance teams on responsible AI considerations.
Conduct comparative evaluations across products, models, configurations, and vendors.

Skills

Model evaluation

Evaluation plans

Prompt design

LLMs

RAG

Security & privacy

Education

Bachelor's degree

Master's degree

Tools

Python

SQL

Spreadsheets

Notebooks

Analytics platforms

Job description

Overview

Position contingent on contract award - d etails 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.

Qualifications

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, enterprise search, and tool or connector integrations
Bachelor's degree

Preferred:

Experience evaluating enterprise AI platforms or assistants, including OpenAI products and life sciences models like Rosalind or comparable generative AI solutions
Experience with automated LLM evaluation frameworks, model-as-a-judge approaches, human-in-the-loop evaluation, red teaming, or adversarial testing
Experience evaluating RAG systems, AI agents, MCP-enabled tools, enterprise connectors, or multi-step AI workflows
Experience developing dashboards or reporting mechanisms for AI evaluation metrics, quality trends, risk findings, and regression results
Ability to work with datasets and evaluation results using tools such as Python, SQL, spreadsheets, notebooks, or analytics platforms to calculate metrics, identify patterns, and summarize findings
Possession of an industry-recognized certification in AI, machine learning, data science, cybersecurity, cloud technologies, or responsible AI
Master's degree preferred

Final salary determination based on skill-set, qualifications, and approved funding. Many of our jobs come with great benefits - Some offerings are dependent upon the role, work schedule, or location, and may include the following:

Paid Time Off