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INTERNSHIP: AI for CFD

Waltham, MA · On-site

... AI-infused fluids technology. This is a paid six month internship/co-op. The position is based at ... Excellent written and verbal communication skills. * Ability to evaluate technical systems ...

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As of Aug 10, 2026, the average hourly pay for internship ai annotation writing in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is the difference between Internship Ai Annotation Writing vs Data Labeling Specialist?

AspectInternship Ai Annotation WritingData Labeling Specialist
CredentialsTypically students or entry-level with basic technical skillsOften requires experience with labeling tools and data management
Work EnvironmentInternship setting, often in tech or AI companiesFull-time or freelance roles in data annotation firms or tech companies
Industry UsageCommon in AI development, machine learning projectsUsed across AI, autonomous vehicles, and data-driven industries

Internship Ai Annotation Writing focuses on entry-level tasks like creating annotations for AI training data, often as part of an internship program. Data Labeling Specialist involves more experienced data annotation work, often with specialized tools and higher accuracy requirements. Both roles are essential in AI development but differ mainly in experience level and scope.

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Infographic showing various Internship Ai Annotation Writing job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

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

Volga Partners

Remote

$55 - $60/hr

Other

Posted 26 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