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Careerflow.ai

LLM - Business Analyst

Sorry, this job was removed at 10:45 a.m. (MST) on Thursday, Aug 06, 2026
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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Evaluate, label, classify, and validate data per project guidelines to ensure dataset accuracy and consistency for AI model training. Identify edge cases, perform quality checks, provide feedback, and meet productivity and quality targets while working independently and remotely with required PST overlap.
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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 Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

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