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Manager Evaluation Research Jobs (NOW HIRING)

The Postdoctoral Research Associate will work on projects that informs the design and evaluation of ... lab management, and supervision of graduate and undergraduate students. Minimum Qualifications

Research Engineer

Madison, WI · On-site

$70 - $95/hr

Review and summarize test data for product evaluation * Research building code requirements for ... Ability to manage time and prioritize a variety of simultaneous projects * Working knowledge of ...

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Manager Evaluation Research information

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$50K

$98.6K

$173.5K

How much do manager evaluation research jobs pay per year?

As of Sep 7, 2026, the average yearly pay for manager evaluation research in the United States is $98,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $114,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Evaluation Research vs Data Analyst?

AspectManager Evaluation ResearchData Analyst
Primary FocusAssessing managerial performance and leadership effectivenessAnalyzing data to identify trends and support decision-making
Required SkillsResearch methods, evaluation techniques, leadership assessmentStatistical analysis, data visualization, programming skills
Work EnvironmentResearch settings, HR departments, consulting firmsBusiness, finance, healthcare, technology sectors
CertificationsOften requires research or HR certificationsData analysis certifications like SAS, SQL, or Python

While both roles involve data handling, Manager Evaluation Research focuses on evaluating managerial performance through research methods, whereas Data Analysts primarily analyze data to inform business decisions across various industries.

What does a manager evaluation research do?

A manager evaluation researcher analyzes data to assess a manager's performance, leadership skills, and effectiveness within an organization. They often use surveys, performance metrics, and statistical tools to identify strengths and areas for improvement, supporting decision-making and leadership development.
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What cities are hiring for Manager Evaluation Research jobs?

Cities with the most Manager Evaluation Research job openings:

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

The most popular types of Evaluation Research jobs are:

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States with the most job openings for Manager Evaluation Research jobs include:

What job categories do people searching Manager Evaluation Research jobs look for?

The top searched job categories for Manager Evaluation Research jobs are:

Infographic showing various Manager Evaluation Research job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $98,569 per year, or $47.4 per hour.

Senior Product Operations Manager, Evaluation Quality

Harvey

San Francisco, CA • On-site

$155K - $233K/yr

Full-time

Re-posted 3 days ago


Key responsibilities

  • Own the quality bar for Harvey's human evaluations by defining evaluation methodology and data analysis standards.

  • Author, maintain, and standardize evaluation guidelines, instructions, and databases for contract attorneys.

  • Conduct quantitative and qualitative analyses of evaluation data to diagnose errors, investigate root causes, and produce actionable signals for product, engineering, and research teams.


Job description

Why Harvey
At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today - and we're just getting started.
Role Overview
We're looking for a senior operator to own the quality bar behind Harvey's human evaluations. As we scale globally, the volume of eval work is growing 10x, but volume only matters if the output is trusted. This role makes Human Data's signal decision-grade: rigorous, calibrated, and reproducible enough that Product, Engineering, and AI Research act on it to ship.
As a member of our Evaluation Operations team, you'll work alongside our Evaluation Operations Manager (who runs throughput and coordination) and partner closely with Applied Legal Researchers, Product, Engineering, and AI Research. You'll set the standard for what "good" looks like across eval data and methodology, and own the data analyses to make conclusions that teams will rely on, building the stakeholder trust that lets EPD act on the signal.
What You'll Do
  • Own the quality bar for Harvey's human evaluations: define what "good" looks like for eval methodology and data analysis, and produce decision-grade outputs for EPD
  • Author and maintain the evaluation guidelines, instructions, and databases that contract attorneys work from
  • Standardize and streamline rubric and evaluation design into repeatable templates and one documented methodology, partnering with Applied Legal Research (ALR), who supplies feature-specific legal depth
  • Own contract-attorney quality: onboarding, calibration training, inter-rater reliability, and the feedback loop (including benchmarks and gold references) that keeps judgment consistent across attorneys and over time
  • Conducting quantitative and qualitative statistical analyses, diagnosing error states, investigating root causes, and turning raw eval results into a structured, prioritized signal Product and ALR can act on
  • Run QA on vendor and contract-attorney deliverables against a defined bar before results inform a launch decision
  • Ensure the quality bar holds across jurisdictions and non-English geographies as coverage expands
  • Establish one standard, documented way to analyze eval results, and build lightweight operational dashboards to track rater capability and eval-program health
  • Support ALR in a review step that certifies an evaluation is sound before it scales to contract attorneys
  • Partner with ALR and Analytics to determine where human eval aligns with online signal and where it can provide expanded insights

What You Have
  • 6+ years in product operations, research operations, evaluation/QA operations, or quality program management
  • A track record of owning quality inputs (guidelines, instructions, benchmarks, QA procedures) for complex, expert-driven or human-in-the-loop work
  • Experience onboarding, training, and calibrating a distributed pool of expert raters, annotators, or reviewers, and running the feedback loop that improves their quality over time
  • Enough grounding in measurement concepts (calibration, inter-rater reliability, sampling, rubric design) to independently set up and own the quality of our evaluation loop yourself
  • Experience with running quantitative and qualitative data analyses, interpreting and running statistical tests on evaluation data (natively or with AI tool support), and communicating conclusions to various stakeholders
  • A record of scaling and streamlining evaluation quality processes under shipping pressure, with a bias toward documentation and reproducibility over one-off analysis
  • Ability to work deeply with domain experts (e.g., ALR / lawyers) and translate nuanced judgment into repeatable, documented standards
  • Strong cross-functional coordination across Product, Engineering, Research, ALR, and data providers/vendors
  • Clear communicator who can build credibility and trust with stakeholders
  • Bias to action and high ownership, from writing the guideline to auditing a vendor batch line by line
Bonus Points
  • Experience in legal tech or working with domain experts in regulated industries
  • Experience owning quality across multiple markets, languages, or jurisdictions
  • Built calibration, inter-rater reliability, or capability-tracking systems for annotation or evaluation pipelines
  • Experience transitioning evaluation work in-house or otherwise improving evaluation ROI
  • Familiarity with LLM-as-judge / automated evaluation used alongside human eval
  • Early employee at a hyper-growth startup, or experience at a world-class product or platform operations org

Compensation
$155,400 - $233,200 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices here.
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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai