AI Evaluation Specialist

System One; Atlanta (GA); On-site; USD 140,000 - 171,000; Full time

Job summary

System One, Inc. is seeking an AI Evaluation Specialist to assess enterprise AI tools and platforms for safety, usability, and readiness.

You will design repeatable evaluation frameworks and collaborate with product managers, data scientists, security, and business stakeholders to deliver actionable recommendations. The role requires extensive hands-on evaluation of generative AI tools, including OpenAI-style models and life sciences models, with a focus on accuracy, reliability, and responsible

Qualifications

• 5+ years of experience in model evaluation or QA for AI-enabled products/services.
• Experience developing structured evaluation plans, test cases, scoring rubrics, benchmarks, and measurable criteria.
• Hands-on experience with generative AI tools and large language models, including prompt design and testing.
• Ability to assess AI systems across accuracy, safety, privacy, security, usability, performance, and cost.
• Familiarity with architectures like LLMs, RAG, AI agents, APIs, and enterprise search.
• Bachelor's degree required; US Citizenship or Green Card holder as per government contract.

Responsibilities

• Plan and execute hands-on evaluations of AI tools using business scenarios, prompts, datasets, and personas.
• Assess response quality, factual accuracy, relevance, safety, reliability, latency, usability, and task effectiveness.
• Design and maintain evaluation frameworks, scorecards, rubrics, and acceptance criteria for enterprise AI tools and models.
• Evaluate safety, privacy, security, data handling, governance, and responsible AI with security and legal teams.
• Conduct comparative evaluations across products, models, configurations, and vendors including cost analysis.
• Evaluate AI agents and MCP-enabled tools, including connectors and APIs, where applicable.
• Stay current with advancements in generative AI and model evaluation; share knowledge with the team.
• Collaborate with cross-functional stakeholders to drive evaluation program improvements.

Skills

AI evaluation

Model evaluation

Prompt design

Structured evaluation plans

RAG

LLMs

Enterprise AI

Security awareness

Education

Bachelor's degree

Tools

Python

SQL

Job description

Job Title: AI Evaluation Specialist

US Citizenship or Green Card required per government contract
Clearance: Must be able to obtain Public Trust
Salary: $155K

Job Description

In this position, you'll evaluate enterprise AI tools and capabilities to determine their effectiveness, safety, usability, and readiness for business adoption. You'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. You will design repeatable evaluation frameworks, test real-world use cases, analyze model and product behavior, and translate findings into clear recommendations. You will be responsible for comparing AI solutions across quality, accuracy, reliability, safety, privacy and security.

Key Job 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.

Job Requirements

• 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
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

Job Desirable Skills

• 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