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LLM Business Analysts

Remote / Online - Candidates ideally in
Pocatello, Bannock County, Idaho, 83204, USA
Listing for: Gramian Consulting Group
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling
Salary/Wage Range or Industry Benchmark: 10 USD Hourly USD 10.00 HOUR
Job Description & How to Apply Below
Position: LLM Business Analysts - US only

About Us

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high‑performing teams by matching them with professionals who truly fit their needs.

Role overview

We are looking for detail‑oriented professionals based in the United States to support AI model improvement through high‑quality data review, annotation, classification, and validation. This is a short‑term remote contract opportunity for candidates who can follow detailed guidelines, make consistent decisions, and maintain strong accuracy across repetitive review tasks.

In this role, you will work on structured AI data tasks used to train and evaluate advanced language models. The work is best suited for candidates with experience in data annotation, content review, quality assurance, operations, or similar analytical work
.

CONTRACT: Short‑term freelance/contractor assignment

COMMITMENT: 40 hours per week, at least 4 hours per day, including 4 hours overlap with PST

HOURLY RATE: $10/h

LOCATIONS: Remote, Alabama, Arizona, Colorado, Florida, Idaho, Iowa, Kentucky, Michigan, Minnesota, Mississippi, Missouri, Montana, New York, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, South Dakota, Texas, Virginia, Wisconsin, Wyoming

PROCESS: 60min Aptitude Online Test

NOTES: Candidates must be currently based in the United States. Applications from outside the US cannot be considered.

Responsibilities
  • Review, label, classify, and validate data according to detailed project guidelines
  • Ensure accuracy, consistency, and quality across assigned tasks
  • Apply instructions objectively when evaluating or categorizing content
  • Identify edge cases, discrepancies, and annotation issues
  • Escalate unclear or inconsistent cases when needed
  • Perform quality checks and provide clear feedback where required
  • Meet productivity and quality expectations in a remote work environment
  • Work independently while following project standards and timelines
  • Minimum 2 years of professional experience in an analytical, operational, QA, review, or similar role
  • Strong English reading, writing, and comprehension skills
  • Ability to follow detailed guidelines and apply them consistently
  • Basic proficiency with Google Workspace or Microsoft Office
  • Prior experience in data annotation, content review, quality assurance, or similar work
  • Availability to work 40 hours per week for 3–4 weeks
  • Reliable desktop or laptop setup with a stable internet connection
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