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9 дней назад

AI Evaluation Specialist

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Evaluation Specialist (Generative AI/LLM): Evaluating enterprise AI tools and capabilities for effectiveness, safety, usability, and business readiness with an accent on structured testing, quality assessment, and responsible AI. Focus on designing repeatable evaluation frameworks, comparing models and platforms, and analyzing RAG, agent, security, privacy, and governance risks.

Location: US; must be a U.S. Citizen or Lawful Permanent Resident and able to obtain a U.S. Government Public Trust 5 security clearance.

Company

hirify.global provides strategic consulting, program management, and data-driven analytics for federal public health agencies.

What you will do

  • Plan and execute hands-on evaluations of enterprise AI tools, generative AI products, platforms, models, and agents using representative business scenarios, workflows, prompts, datasets, and user personas.
  • Assess response quality, accuracy, relevance, consistency, reasoning, instruction following, reliability, latency, usability, accessibility, performance, safety, privacy, security, bias, governance, and cost.
  • Design and maintain evaluation frameworks, scorecards, rubrics, benchmarks, test cases, and measurable acceptance criteria.
  • Conduct comparative evaluations and proof-of-concept assessments across AI products, models, configurations, vendors, integrations, RAG systems, enterprise search, connectors, APIs, and MCP-enabled capabilities.
  • Analyze model and product behavior, identify failure modes, and translate findings into recommendations, metrics, risk findings, and regression reporting.
  • Collaborate with product, data science, AI engineering, software engineering, security, privacy, legal, governance, and business stakeholders while contributing to knowledge sharing.

Requirements

  • 5+ years of experience in model evaluation or model quality assurance, including hands-on evaluation of AI-enabled products or services.
  • Experience developing structured evaluation plans, test cases, scoring rubrics, benchmarks, and measurable acceptance criteria.
  • Hands-on experience with 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 for accuracy, relevance, consistency, safety, bias, privacy, security, usability, performance, and cost.
  • Familiarity with large language models, retrieval-augmented generation, 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).
  • Must be a U.S. Citizen and able to obtain a U.S. Government security clearance (Public Trust 5) within a reasonable period.

Nice to have

  • Experience evaluating enterprise AI platforms or assistants, including OpenAI products and life sciences models such as Rosalind or comparable 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.
  • Experience using Python, SQL, spreadsheets, notebooks, or analytics platforms to calculate metrics, identify patterns, and summarize findings.
  • Industry-recognized certification in AI, machine learning, data science, cybersecurity, cloud technologies, or responsible AI.
  • Master's degree preferred.

Culture & Benefits

  • Market-competitive salary commensurate with experience and education.
  • Medical, dental, vision, and life insurance.
  • Paid time off and 401(k) with company match.
  • Growth and promotion opportunities.
  • Interview responses must be based on the candidate's own knowledge, skills, and experience; AI-assisted interview responses are not permitted and may lead to disqualification.

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