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Manager Ai Annotation Jobs (NOW HIRING)

NEURA Robotics

$70 - $90/hr

Your mission & challenges As an AI Data Annotation Specialist, you will operate at the intersection of data ingestion, processing, and machine learning. Your primary responsibility is to design and ...

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UnitedHealthcare

Manager of Clinical Annotation - | , |

$91K - $163K/yr

Manager Of Clinical Annotation At UnitedHealthcare, we're simplifying the health care experience ... Contribute to roadmap planning for annotation projects and AI initiatives * Identify opportunities ...

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$35.5K

$102.3K

$165K

How much do manager ai annotation jobs pay per year?

As of Aug 21, 2026, the average yearly pay for manager ai annotation in the United States is $102,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ai Annotation vs Data Annotator?

AspectManager Ai AnnotationData Annotator
Required CredentialsBachelor's degree in related field, experience in AI projectsHigh school diploma or equivalent, on-the-job training
Work EnvironmentTeam management, project oversight, collaboration with data scientistsData labeling tasks, working with annotation tools
Industry UsageAI development, machine learning projectsData preparation for AI models
Search & Comparison IntentUnderstanding managerial roles in AI annotationEntry-level annotation tasks

The main difference between Manager Ai Annotation and Data Annotator lies in their responsibilities and experience. Managers oversee annotation projects, coordinate teams, and ensure quality, requiring leadership skills and experience. Data Annotators focus on labeling data accurately under supervision. Managers typically have higher credentials and work in strategic roles, while annotators perform the hands-on labeling tasks essential for AI training.

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Manager Ai Annotation jobs near you
Infographic showing various Manager Ai Annotation job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $102,286 per year, or $49.2 per hour.

Senior Financial Planning & Analysis (FP&A) SME (AI Evaluation) | U.S.

Volga Partners

Remote

$55 - $60/hr

Other

Re-posted 6 days ago

Job description

Schedule & Availability
This is a project-based independent contractor opportunity supporting the evaluation of advanced AI models.
Current Shift Availability
  • IST: 9:00 AM - 6:00 PM IST
  • PST: 6:00 AM - 3:00 PM PST

At this time, the client is seeking consultants who can consistently commit to a full 8-hour shift during one of the schedules above.
While you are expected to be available for the full shift, there is flexibility in how those hours are completed. For example, you may work 4 hours, take a break (up to 2 hours), and then complete the remaining 4 hours.
As with many AI projects, work is assigned based on client demand. Although we anticipate strong project volume, available work may fluctuate over time. This engagement is best suited for consultants who are comfortable with a dynamic, project-based environment.
AI Evaluation Experience
Previous experience with AI evaluation, RLHF, prompt engineering, AI annotation, or LLM evaluation is strongly preferred. Candidates with exceptional finance expertise who are eager to learn structured AI evaluation workflows are also encouraged to apply.
Compensation
  • United States: $55-$60 USD/hour
  • Exceptional candidates may be considered for higher compensation based on experience and project requirements.

About the Role
We are seeking an experienced Quantitative Finance Subject Matter Expert to support the development, evaluation, and improvement of advanced Artificial Intelligence (AI) models.
This is not a traditional Investment Banking position.
Instead, you will apply your real-world expertise to evaluate complex AI-generated financial analyses, validate technical reasoning, identify inaccuracies, and help improve Large Language Models (LLMs) used within the finance industry.
We are looking for professionals who are recognized as experts within their field-individuals capable of evaluating financial reasoning with the same rigor expected in investment banking, corporate finance, transaction advisory, and institutional finance environments.
Requirements
Domain Expertise
Candidates should demonstrate expert-level knowledge in one or more of the following:
  • Budgeting
  • Forecasting
  • Financial Planning
  • Variance Analysis
  • Cost Accounting
  • Business Partnering
  • Financial Reporting
  • Strategic Planning
  • Management Reporting

Preferred Qualifications
  • Controller
  • CFO
  • FP&A Director
    What Makes a Strong Candidate
  • CFO
  • Controller
  • FP&A Director
  • Owned budgeting
  • Built forecasting models
  • Presented to executive leadership

Key Responsibilities
  • Evaluate AI-generated financial analyses for technical accuracy, completeness, and quality of reasoning.
  • Identify factual inaccuracies, unsupported assumptions, logical inconsistencies, and calculation errors.
  • Review financial models, valuation methodologies, and investment analyses produced by AI.
  • Create, review, and refine finance-related prompts, benchmark responses, and evaluation datasets.
  • Apply detailed annotation guidelines consistently while maintaining exceptional quality standards.
  • Provide structured, actionable feedback that improves AI model performance.
  • Collaborate with Project Managers, Quality Assurance teams, and AI Researchers to improve evaluation methodologies.
  • Maintain productivity and quality expectations while working independently in a remote environment.

Required Qualifications
Candidates should possess:
  • Significant practical experience in Investment Banking, Corporate Finance, or Transaction Advisory.
  • Strong knowledge of U.S. financial markets and corporate finance principles.
  • Exceptional analytical and critical thinking skills.
  • Advanced financial modeling and valuation capabilities.
  • Excellent written English communication skills.
  • Ability to independently evaluate complex financial analyses and articulate technical feedback.
  • Strong attention to detail and commitment to quality.

Preferred Qualifications
One or more of the following is highly desirable:
Professional Certifications
  • CFA (Completed or Candidate)
  • CPA
  • MBA (Finance)
  • Chartered Accountant (CA)
Professional Background
  • Investment Banking
  • Big Four Transaction Advisory
  • Valuation Advisory
  • Private Equity
  • Venture Capital
  • Corporate Development
  • Strategic Finance
Financial Platforms
  • Bloomberg Terminal
  • Capital IQ
  • FactSet
  • Refinitiv
  • PitchBook
AI Experience
Previous experience with any of the following is highly desirable:
  • AI Model Evaluation
  • Reinforcement Learning from Human Feedback (RLHF)
  • Prompt Engineering
  • AI Annotation
  • Large Language Model (LLM) Evaluation
  • AI Quality Assurance
  • Benchmark Dataset Development

Candidates without prior AI evaluation experience may still be considered if they possess exceptional domain expertise and strong analytical reasoning.
U.S. Market Knowledge
Candidates should demonstrate a strong working knowledge of:
  • SEC Filings
  • Public Equities
  • Financial Statements
  • Valuation Methodologies
  • Corporate Earnings
  • Macroeconomic Indicators
  • Investment Analysis
  • Capital Markets
  • Financial Ratios
  • Portfolio Concepts
  • Market Trends

What Makes a Strong Candidate
Successful candidates are often professionals who have:
  • Led complex financial analyses or valuation engagements.
  • Reviewed or approved the work of other finance professionals.
  • Supported or led high-profile transactions.
  • Presented recommendations to executive leadership, investment committees, or clients.
  • Built financial models used in strategic business decisions.
  • Applied expert judgment to evaluate complex financial scenarios.

Trial Gig (Required)
As part of the selection process, all shortlisted candidates must successfully complete a Trial Gig designed to evaluate technical finance expertise, analytical reasoning, written communication, attention to detail, and the ability to assess AI-generated financial responses.
Please note:
  • Successful completion of the Trial Gig is required before joining the production project.
  • Candidates who meet the required quality standards will receive an offer to join the project and will be compensated for successfully completing the Trial Gig.
  • Candidates who do not meet the required quality standards will not move forward on this project and will not receive compensation for the Trial Gig.
  • Strong candidates who are not selected may remain in our talent network and be considered for future AI evaluation projects that better align with their expertise.

About Volga Partners
Volga Partners is a global talent and consulting firm dedicated to building high-performing teams for the world's most innovative organizations. We specialize in identifying exceptional subject matter experts across finance, technology, healthcare, operations, and other highly specialized industries.
Our experts contribute to the development of advanced Artificial Intelligence by evaluating complex reasoning, improving model performance, and ensuring AI systems reflect the knowledge and judgment of experienced industry professionals.
Joining Volga Partners means becoming part of a global network of experts helping define the next generation of AI while working on challenging, project-based engagements with leading technology organizations.

Apply