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Ai Evaluation Job Jobs (NOW HIRING)

Geisinger Health

Director AI Evaluation

Danville, PA · On-site +1

  • Medical

  • Dental

  • Vision

The Director of AI Evaluation owns how Geisinger defines, proves, and sustains quality across its entire AI portfolio - internally built models and vendor-provided systems alike. This is a hands-on ...

Capital Rx

AI Evaluation Engineer

Manhattan, NY · On-site

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary As an AI Evaluation Engineer at Judi Health, you will build the testing frameworks, metrics, and tooling used to ...

Judi Health

AI Evaluation Engineer

Charlotte, NC · On-site

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary As an AI Evaluation Engineer at Judi Health, you will build the testing frameworks, metrics, and tooling used to ...

Capital Rx

AI Evaluation Engineer

Charlotte, NC · On-site

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary As an AI Evaluation Engineer at Judi Health, you will build the testing frameworks, metrics, and tooling used to ...

Capital Rx

AI Evaluation Engineer

Denver, CO · On-site

Hybrid 3 days (offices in NYC, Denver, CO and Charlotte, NC area) Position Summary As an AI Evaluation Engineer at Judi Health, you will build the testing frameworks, metrics, and tooling used to ...

Weekday AI

Legal AI Evaluation Expert

$100 - $150/hr

Your evaluations and structured feedback will directly contribute to improving AI systems designed to support legal analysis and professional decision-making. This is a fully remote, independent ...

Deposco

AI Evaluation Engineer

Alpharetta, GA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Deposco is seeking an experienced AI Evaluation Engineer to join our innovative quality assurance team. This role focuses on ensuring the accuracy, reliability, and performance of AI-driven ...

RWS

Speech AI Evaluation Specialist - Thai

Speech AI Evaluation Specialist We are looking for a Speech AI Evaluation Specialist to support the improvement of AI-generated content in Thai or Chinese Simplified. Job Type: Freelance Location:

Weekday AI

Medical Expert AI Evaluation Specialist

$130 - $180/hr

Assess AI-generated medical responses using structured evaluation frameworks and scoring rubrics. * Identify strengths, weaknesses, omissions, and reasoning errors. * Provide detailed written ...

Mercor

Finance Expert - AI Evaluation

San Francisco, CA · On-site

$50 - $90/hr

Finance Domain Expert -- AI Training & Evaluation Type: Contract Compensation: $50-$90/hour Location: Bay Area, California Commitment: 40 hours/week Role Responsibilities * Evaluate the quality of ...

RWS

Speech AI Evaluation Specialist - Hindi (India)

Speech AI Evaluation Specialist We are looking for a Speech AI Evaluation Specialist to support the improvement of AI-generated content in Hindi. Job Type: Freelance Location: India (work from home ...

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Ai Evaluation Job information

What is the difference between Ai Evaluation Job vs Data Analyst?

AspectAi Evaluation JobData Analyst
Required CredentialsDegree in Computer Science, AI, or related fields; knowledge of machine learningDegree in Statistics, Mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentTech companies, AI labs, research institutionsBusiness, finance, healthcare, and other industries
Employer & Industry UsagePrimarily in AI development and testingAcross various sectors for data-driven decision making
Common Search & ComparisonOften compared for roles involving AI model assessmentCompared for roles analyzing and interpreting data sets

The Ai Evaluation Job focuses on assessing and testing AI models, requiring expertise in machine learning and AI technologies. In contrast, Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve data handling, their core functions and industry applications differ significantly.

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Ai Evaluation Job jobs near you
Infographic showing various Ai Evaluation Job job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 23% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Director AI Evaluation

Geisinger Health

Danville, PA • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 4 days ago

Geisinger Health rating

6.9

Company rating: 6.9 out of 10

Based on 445 frontline employees who took The Breakroom Quiz

456th of 888 rated healthcare providers

Job description

Location:
Work from home (Pennsylvania)
Shift:
Days (United States of America)
Scheduled Weekly Hours:
40
Worker Type:
Regular
Exemption Status:
Yes
Job Summary:
The Director of AI Evaluation owns how Geisinger defines, proves, and sustains quality across its entire AI portfolio - internally built models and vendor-provided systems alike. This is a hands-on technical leader who also manages the people who do the building and the proving: the data scientists who develop production machine learning and fine-tuned AI systems, and the senior analysts who evaluate them.
Every high-value AI initiative - bought or built - needs a single, credible standard for what constitutes quality, who validates it, and how it stays good in production. The Director sets that standard, leads the team that enforces it, and reports findings to the VP of AI, executive leaders, and the board.
This role is a manager who develops a multidisciplinary team, a technical authority who defines evaluation method across the enterprise, and a quality owner who guides every major AI program toward evidence that withstands scrutiny.
Job Duties:
  • Reports to the VP of AI; directly career-manages the data science line and matrix-manages the Senior Analysts, AI Evaluation.
  • Determines the quality standard for any high-value AI initiative at Geisinger - internally built or vendor-provided - from design through production.
  • Holds bought systems to the same standard as built ones, generating local evidence on whether a tool works here for Geisinger's clinicians and patients rather than accepting vendor aggregate or cherry-picked results.
  • Owns the methodology that holds initiatives to that standard: pre-production validation and live production monitoring.
  • Owns the health of the data science team - attracting and retaining strong technical talent, developing careers, and keeping the bench deep, engaged, and growing - and leads and develops the evaluation team alongside it.
  • Provides hands-on technical guidance to program teams as they design validation studies, equity audits, monitoring plans, and escalation playbooks.
  • Owns the evaluation toolkit and reusable playbooks and templates that let each new program move faster than the last.
  • Translates program-specific failure modes into concrete, measurable production-monitoring metrics; defines what is measured and how, while the AI Platform team builds the backend.
  • Tracks AI System Performance - the single most important accuracy indicator for each system, against thresholds set to clinical tolerance.
  • Tracks User Adoption - engagement, override rates, and time-to-action - distinguishing genuine workflow misalignment and alarm fatigue from poor predictive value.
  • Connects each AI to the Outcome it was deployed to improve (mortality, time-to-treatment, boarding time, denial rate, cost per case) against a pre-launch baseline over a use-case-appropriate horizon, holding both tangible returns and harder-to-quantify value in view.
  • Monitors Equity - the maximum performance gap on the Pillar 1 metric across the subgroups that matter for the initiative, so disparate impact surfaces early.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.
Position Details:
Required Skills and Qualifications:
  • People-leadership experience - managing, developing, and growing technical staff; building teams, not just leading projects.
  • Strong foundation in experimental design and causal inference, with judgment about which method fits which situation.
  • Hands-on experience designing and running model evaluation studies in real production settings.
  • Experience evaluating LLM or generative AI systems, or comparable experience with complex ML systems where ground truth is ambiguous or noisy.
  • Proven ability to translate ambiguous failure modes into concrete, defensible evaluation designs and monitoring metrics.
  • Strong fluency in Python and SQL; working comfort with modern ML tooling and cloud-native data environments.
  • Experience in evaluating fairness and equity in ML systems.
  • Clear written communication - the role produces evaluation memos and specifications that non-technical decision-makers rely on.
  • Healthcare, clinical, or regulated-industry experience strongly preferred.

Education:
Bachelor's Degree-Related Field of Study (Required)
Experience:
Minimum of 8 years-Related work experience (Required), Minimum of 3 years-Managerial/Supervisory (Required)
Certification(s) and License(s):
Skills:
OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.
  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.
We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

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