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Careerflow.ai

LLM - Business Analyst

Sorry, this job was removed at 09:45 a.m. (PST) 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 Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

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