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Temporary Ai Evaluator Jobs (NOW HIRING)

Cardinal Staffing Services is immediately hiring a Temporary Office Assistant for a company in Lima ... related evaluations.AI tools may assist in reviewing application materials, assessing ...

Temporary Salary: $37-42 Hourly up to $42.00/hr Start Date: Aug 3, 2026 Are you ready to ... Design scalable testing and evaluation frameworks for content, templates, and AI-generated ...

AI Evaluation & Optimization * Define success metrics and build evaluation harnesses to measure ... Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and ...

AI Evaluation & Optimization * Define success metrics and build evaluation harnesses to measure ... Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and ...

AI Engineer (San Jose, CA)

San Jose, CA · On-site

$125K - $175K/yr

AI Evaluation & Optimization * Define success metrics and build evaluation harnesses to measure ... Non-Temporary Employees enjoy a competitive benefits package that includes medical, dental and ...

... AI evaluation frameworks (Evals) to benchmark model behavior, retrieval quality, and agent ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

... AI evaluation frameworks (Evals) to benchmark model behavior, retrieval quality, and agent ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

... AI evaluation frameworks (Evals) to benchmark model behavior, retrieval quality, and agent ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

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$29.5K

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How much do temporary ai evaluator jobs pay per year?

As of Aug 28, 2026, the average yearly pay for temporary ai evaluator in the United States is $65,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $79,500.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Ai Evaluator vs Data Annotator?

AspectTemporary Ai EvaluatorData Annotator
Required CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI development, machine learning projectsData labeling, training datasets
Common Search IntentTemporary AI evaluation rolesData annotation jobs

Temporary Ai Evaluators and Data Annotators often share similar skills and work environments, both supporting AI and machine learning projects. However, Temporary Ai Evaluators focus on assessing AI outputs for accuracy and quality, while Data Annotators primarily label and prepare data for training models. Both roles are essential in AI development but serve different functions within the industry.

Are remote temporary AI Evaluator jobs legit?

Remote temporary AI Evaluator jobs are legitimate positions that involve reviewing and assessing AI-generated content to improve machine learning models. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and review the job description carefully to ensure it aligns with standard evaluation tasks. Reliable opportunities typically do not ask for sensitive personal information or payment from applicants.

How much do temporary AI evaluators make?

Temporary AI evaluators typically earn between $12 and $20 per hour, depending on the company, location, and experience. The role often involves reviewing and labeling data to improve AI models and may require basic computer skills and attention to detail.

How to become a Temporary AI Evaluator?

To become a Temporary AI Evaluator, candidates typically need strong language and analytical skills, familiarity with AI and machine learning concepts, and attention to detail. Many positions require completing online assessments or training modules and may involve flexible scheduling. Relevant experience or background in technology or data annotation can be advantageous.
More about Temporary Ai Evaluator jobs

What cities are hiring for Temporary Ai Evaluator jobs?

Cities with the most Temporary Ai Evaluator job openings:

What are the most commonly searched types of Ai Evaluator jobs?

The most popular types of Ai Evaluator jobs are:

What states have the most Temporary Ai Evaluator jobs?

States with the most job openings for Temporary Ai Evaluator jobs include:

Infographic showing various Temporary Ai Evaluator job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $65,471 per year, or $31.5 per hour.

Part - Time Temporary AI Subject Matter Expert - FY 2027

Henderson, NV • On-site


College of Southern Nevada
Internet and IT • 1 - 5K employees

8.4

Company rating: 8.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

104th of 625 rated colleges and universities

Great coworkers

Good employer


$29.60/hr

Other

Posted 6 days ago


Job description

Part-Time Temporary AI Subject Matter Expert

The Part-Time Temporary AI Subject Matter Expert reports to the Interim Lead of AI Innovation and Stewardship and serves as a strategic subject matter expert who will have a small team of people to support the College's AI innovation and stewardship efforts. Working collaboratively with the Lead for AI Innovation and Stewardship, this position conducts institutional AI readiness assessments, evaluates organizational opportunities and risks, facilitates cross-functional stakeholder engagement, synthesizes research, and develops actionable recommendations that inform institutional planning and responsible AI adoption.

The position provides professional expertise in assessing organizational capacity for AI, identifying implementation priorities, researching governance considerations, and supporting evidence-based decision-making related to AI across academic, administrative, and operational functions. Through research, assessment, analysis, and collaboration, the Senior Specialist helps strengthen institutional readiness and advance responsible AI innovation.

Core Duties and Responsibilities

1. Institutional AI Readiness Assessment

  • Works with units to conduct AI readiness assessments across academic, administrative, and operational divisions using established assessment methodologies.
  • Evaluates organizational capabilities, workforce preparedness, technology readiness, governance structures, and change management considerations for AI adoption.
  • Identifies capability gaps, adoption barriers, and institutional readiness priorities.
  • Develops and refines assessment frameworks, evaluation instruments, and supporting documentation that guide institutional AI planning.
  • Synthesizes assessment findings into actionable recommendations for leadership.

2. Strategic Analysis, Research, and Benchmarking

  • Analyzes institutional functions, workflows, and business processes to identify opportunities where AI may improve effectiveness, efficiency, or service delivery.
  • Evaluates AI-related risks, including ethical, legal, operational, privacy, security, accessibility, and workforce implications.
  • Conducts benchmarking research examining AI governance, policy development, organizational readiness, and implementation practices across higher education, government, and industry.
  • Monitors emerging AI technologies, regulatory developments, and best practices to inform institutional planning and strategic decision-making.
  • Develops analytical reports and evidence-based recommendations that support AI governance and innovation initiatives.

3. Stakeholder Engagement and Institutional Collaboration

  • Partners with the Lead for AI Innovation and Stewardship to design and facilitate stakeholder engagement activities, workshops, focus groups, and collaborative planning sessions.
  • Engages faculty, staff, administrators, and operational leaders to identify priorities, opportunities, concerns, and implementation needs.
  • Synthesizes qualitative and quantitative stakeholder feedback to identify emerging themes and institutional priorities.
  • Builds collaborative relationships that promote shared understanding, organizational readiness, and responsible AI adoption.

4. Strategic Reporting and Program Support

  • Develops reports, presentations, dashboards, briefing materials, and strategic summaries for institutional leadership.
  • Collects, analyzes, and synthesizes data from assessments, surveys, pilot initiatives, and stakeholder engagement activities.
  • Maintains institutional AI inventories, readiness documentation, assessment records, and project tracking systems.
  • Translates complex technical and organizational findings into clear, actionable recommendations for diverse audiences.
  • Supports implementation planning by monitoring initiative progress, documenting outcomes, and identifying opportunities for continuous improvement.
Knowledge, Skills, and Abilities
  • Knowledge of artificial intelligence applications, governance, and emerging trends in higher education.
  • Knowledge of organizational assessment, strategic planning, institutional effectiveness, and change management principles.
  • Ability to conduct qualitative and quantitative analysis and synthesize complex information into executive-level recommendations.
  • Strong facilitation, stakeholder engagement, and consensus-building skills.
  • Ability to communicate complex technical concepts to non-technical audiences.
  • Demonstrated analytical, research, and project management skills.
  • Ability to work independently while collaborating effectively with cross-functional teams and senior leadership.
Minimum Qualifications

Master's degree in Education or related field with demonstrated expertise in artificial intelligence, higher education assessment, organizational change, institutional research, or related experience.

Salary Information

$29.60/hr

Required Attachment(s)

To be considered for this position, please upload the following documents to your application:

  • Resume /CV
  • Cover Letter


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