LLM Business Analysts
- Role
- AI / ML
- Experience
- Mid
- Employment
- Contract
Open to US only. Set where you work from to check your eligibility.
No BS summary
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.
Required languages
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: $15/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
Requirements
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
What you'll do
- 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
What they require
- 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
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.