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Data Evaluation Jobs (NOW HIRING)

Lead Data Scientist

$160K - $170K/yr

What You Will Own - Own the evaluation framework and quality strategy for advanced AI and vision ... Own data and validation strategy for improving model quality and downstream usefulness - Lead ...

Lead Data Scientist

$160K - $170K/yr

What You Will Own- Own the evaluation framework and quality strategy for advanced AI and vision ... Own data and validation strategy for improving model quality and downstream usefulness- Lead ...

AI & Data Capabilities (Preferred): Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data ...

Minimum 5-7 years supporting federal program evaluation or applied policy research, with increasing responsibility for analytic design and execution. * Demonstrated record of integrating multiple ...

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Statistical and process evaluation mindset. * Understanding of basic statistics, process variability, trending, capacity evaluation, data comparison, and performance monitoring. This would support ...

Identify, track, and evaluate relevant data providers across global markets. • Deal Support: Assist in structuring partnership discussions, including preparing briefs, evaluating contract terms ...

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

Minimum 5-7 years supporting federal program evaluation or applied policy research, with increasing responsibility for analytic design and execution. * Demonstrated record of integrating multiple ...

... for data evaluation • Excellent verbal and written communication skills, with the ability to present analysis and conclusions • Strong knowledge and experience of statistical concepts and ...

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How much do data evaluation jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data evaluation in the United States is $31.22, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $33.17 per hour, depending on experience, location, and employer.

What is a data evaluation?

A Data Evaluation job involves analyzing, assessing, and interpreting data to ensure accuracy, consistency, and relevance for decision-making. Professionals in this role use statistical methods, data validation techniques, and reporting tools to identify patterns and insights. They often work with datasets from various sources, verifying integrity and optimizing data quality. Their findings help organizations improve processes, make informed decisions, and enhance overall efficiency.

What are the key skills and qualifications needed to thrive in data evaluation, and why are they important?

To thrive in Data Evaluation, you need a strong analytical mindset, proficiency with data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with data analytics tools such as Excel, SQL, Python, R, or business intelligence platforms, and certifications like Microsoft Certified Data Analyst Associate, are often valuable. Attention to detail, effective communication, and problem-solving abilities are key soft skills for this role. These skills ensure accurate data interpretation, effective reporting, and actionable insights that help organizations make informed decisions.

What are some common challenges faced in data evaluation roles, and how can candidates prepare for them?

Data Evaluation professionals often encounter challenges such as handling large, complex datasets, ensuring data accuracy, and interpreting ambiguous results. To prepare, candidates should familiarize themselves with industry-standard data cleaning and validation techniques, as well as regularly update their technical skills in analytics tools. Effective communication skills are essential for translating complex findings into actionable recommendations for various stakeholders. Staying proactive about learning new methodologies and collaborating closely with cross-functional teams can also help you overcome these challenges and thrive in this role.

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What cities are hiring for Data Evaluation jobs?

Cities with the most Data Evaluation job openings:

What are the most commonly searched types of Data Evaluation jobs?

The most popular types of Data Evaluation jobs are:

What states have the most Data Evaluation jobs?

States with the most job openings for Data Evaluation jobs include:

Infographic showing various Data Evaluation job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,947 per year, or $31.2 per hour.

LLM Model Response Evaluation

Lifted, an Upwork Company™

Laurel, MD • Remote

Full-time

Posted 20 days ago


Job description

Company Description

Our client, a global technology company that helps businesses build, train, and manage AI systems is looking for experts to evaluate model-generated content against defined quality rubrics such as factuality, consistency, aesthetics, and other evaluation criteria.

Job Description
  • Evaluating UI widgets, infographics, image factuality, side-by-side comparisons, and similar AI evaluation activities.
  • The work may involve text, images, audio, video, HTML widgets, PDFs, or combinations of these modalities.
  • The work is domain-agnostic and may cover topics across arts, culture, history, science, engineering, and more.
  • Resources will be expected to independently research unfamiliar topics using trusted sources before making evaluation decisions.
  • Each task will include detailed project guidelines within the evaluation platform.
Qualifications
  • 3+ years of hands-on experience in LLM / GenAI data evaluation.
  • Bachelor's Degree required 
  • Ability to research unfamiliar topics using trusted sources and make well-supported judgments.
  • Comfortable evaluating content across multiple modalities 

Additional Information

Flexible and remote work
Variable workload: Accept or decline tasks based on your availability
No guaranteed hours: Workload may vary weekly