Gramian Consulting Group Logo

Gramian Consulting Group

LLM Business Analysts - US only

Posted 2 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in United States
10-10 Hourly
Junior
Remote
Hiring Remotely in United States
10-10 Hourly
Junior
Remote short-term contract to review, label, classify, and validate text data for LLM training. Follow detailed guidelines, ensure accuracy and consistency, identify edge cases, perform quality checks, and meet productivity standards while working independently.
The summary above was generated by AI

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

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

Similar Jobs

3 Hours Ago
Remote or Hybrid
110K-140K Annually
Expert/Leader
110K-140K Annually
Expert/Leader
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
Lead onsite and in-app conversion strategy to grow newsletter, app, and paid subscriptions. Design user journeys, gating and upsell strategies, oversee experimentation (A/B testing), define Martech integration (e.g., Piano, Digioh), establish KPIs and reporting, and manage a direct report while collaborating with product, data, editorial, and engineering teams.
Top Skills: A/B TestingDigiohMartech PlatformsPiano
3 Hours Ago
Remote or Hybrid
65K-90K Annually
Mid level
65K-90K Annually
Mid level
AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech
Manage and execute onsite and in-app conversion marketing campaigns from concept to launch. Handle project management, asset trafficking, QA, scheduling, and performance monitoring. Use martech and analytics tools to report KPIs, propose A/B tests, and optimize campaigns to drive user acquisition, app downloads, subscription conversions, retention, and operational efficiency. Collaborate cross-functionally with Product, Design, Data, App, and Brand teams.
Top Skills: BrazeDigiohIterableLookerMartechPianoWunderkind
3 Hours Ago
Remote or Hybrid
245K-307K Annually
Senior level
245K-307K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and grow multiple software, data, and platform engineering teams to build scalable, cloud-native data infrastructure, analytics engines, and ML-enabled pipelines. Partner with product and data science, elevate engineering practices, and deploy resilient AWS-based solutions using modern data technologies and CI/CD.
Top Skills: Apache AirflowAWSCi/CdDatabricksMachine Learning FrameworksMlopsPythonScalaSnowflakeSparkSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account