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Careerflow.ai

LLM - Business Analyst

Sorry, this job was removed at 04:50 p.m. (EST) on Sunday, Oct 25, 2026
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Remote
Hiring Remotely in United States
10-10 Hourly
Entry level
Remote
Hiring Remotely in United States
10-10 Hourly
Entry level

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Reviews, labels, classifies, and validates data used to train and evaluate AI models. Identifies discrepancies and edge cases, performs quality checks, provides feedback, follows detailed guidelines, and meets productivity and accuracy targets independently in a remote contractor role.
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Role Overview

We are looking for detail-oriented professionals to support the development and improvement of AI models through high-quality data review and annotation. In this role, you will evaluate, classify, label, and validate content based on detailed project guidelines, ensuring accuracy and consistency across datasets used to train and assess AI systems.

The ideal candidate has excellent attention to detail, strong analytical thinking, and the ability to follow instructions with precision. This is an exciting opportunity to contribute to cutting-edge AI projects while gaining hands-on experience in the rapidly evolving field of artificial intelligence.

Key Responsibilities

  • Review, label, classify, and validate data according to project guidelines.

  • Ensure accuracy, consistency, and quality across assigned tasks.

  • Identify edge cases, discrepancies, and annotation issues, escalating them when appropriate.

  • Perform quality checks and provide clear, constructive feedback.

  • Meet productivity and quality targets while working independently in a remote environment.

Requirements

  • Must be currently based in the United States. Applications from candidates outside the US will not be considered.

  • Strong English reading, writing, and comprehension skills.

  • Excellent attention to detail and analytical abilities.

  • Ability to interpret guidelines and apply them consistently.

  • Good communication and collaboration skills.

  • Self-motivated with the ability to work independently.

  • Desktop or laptop with a reliable internet connection.

Preferred Qualifications

  • Prior experience in data annotation, content review, quality assurance, or similar work is preferred.

  • Familiarity with AI or machine learning data projects is a plus.

  • Basic proficiency with Google Workspace or Microsoft Office.

  • Strong problem-solving skills and the ability to make consistent, objective decisions.

Offer Details

  • Candidate Location: United States only

  • Commitment Required: At least 4 hours per day and a total of 40 hours per week with 4 hours of overlap with PST.

  • Engagement Type: Contractor assignment / Freelancer (no medical or paid leave).

  • Duration of Contract: 3–4 weeks.

  • Time Zone Requirement: This role will require some overlap with UTC-8:00 (America/Los_Angeles) for 4 hours per day.

Application Process

  1. Approved candidates will be sent automated analytical challenges.

  2. Once you clear them, you are ready to go!

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

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