Google Workspace Business Data Specialist
Join OpenTrain as a contract Business AI Data Specialist to create and review business content in Google Workspace for AI training. Remote, part-time (20+ hrs/week), pay $119–$168/hr; requires 3+ years in business intelligence or strategy consulting and expert Google Workspace skills.
Generative Ai Rlhf
$119–$168/hr
Compensation
Worldwide
Eligibility
Entry
Experience
Jun 29, 2026
Posted
Open worldwide
About OpenTrain
OpenTrain is the #1 platform for people building careers in AI training and data labeling. We help contributors find projects, consolidate opportunities, and build a unified portfolio that demonstrates their experience working with AI systems.
Why AI training for business content matters
AI training (also called data labeling or human feedback work) is the human side of building intelligent systems. Business-focused training data—well-structured documents, accurate spreadsheets, and realistic scenarios—helps models reason about finance, strategy, presentations, and organizational processes.
This project is an opportunity to shape how business-oriented AI systems perform, by improving real examples and evaluating model outputs against real-world standards.
The role — what this contract is
OpenTrain is recruiting for a Business AI Data Specialist (contract, part-time) to produce and evaluate business content using Google Workspace tools. The work centers on Docs, Sheets, and Slides and focuses on improving AI-generated business outputs so models learn real-world standards for formatting, data organization, and reasoning.
Work type: Contractor, part-time. Time requirement: 20+ hours/week. Location: Worldwide, fully remote. Language: English. Data type: Text; label work includes text generation and evaluation/rating.
- Employment: Contractor, part-time
- Hours: 20+ hours per week (flexible scheduling)
- Pay: $119–$168 per hour (USD), paid hourly
What you'll do day-to-day
- Create high-quality business documents and datasets in Google Docs, Sheets, and Slides for AI training.
- Review and rate AI-generated business outputs against real-world standards and improvement criteria.
- Edit and improve document formatting, spreadsheet organization, and presentation structure to reflect best practices.
- Translate complex business scenarios into structured annotation tasks and examples for model training.
- Collaborate with cross-functional teams to keep training data accurate, relevant, and secure.
- Prepare clear written feedback and occasional verbal summaries reporting findings and recommendations.
- Maintain data security and confidentiality throughout the project.
Requirements
Candidates must meet the substantive requirements below. The role is listed as entry level in the posting metadata, but it still requires the professional experience and skills described.
- 3+ years of experience in business intelligence or strategy consulting (required).
- Advanced degree and strong academic background in business (required).
- Expert-level use of Google Workspace, including advanced Docs, Sheets, and Slides skills.
- Strong written and verbal communication skills and excellent attention to detail.
- Proven ability to analyze and synthesize business processes efficiently.
- Comfort working independently and as part of a distributed remote team.
- Commitment to data security and confidentiality.
Who should apply
This role fits experienced business analysts, consultants, or BI professionals who enjoy translating real-world business work into training data and improving AI outputs.
It is ideal for people seeking flexible, remote contract work that directly influences how business-focused AI systems understand documents, spreadsheets, and presentations.
How to apply and next steps
Create a free OpenTrain account to apply and build a profile that showcases your relevant consulting or business intelligence experience. Applications should highlight Google Workspace expertise and examples of business documents, spreadsheets, or presentations you've produced or improved.
If selected, you'll be onboarded with project instructions, example tasks, and security guidelines so you can begin contributing and getting paid hourly.