Business Communication Data Expert

Work remotely on AI training projects by writing business communication prompts and rating model responses for clarity, relevance, and professional judgment. The role offers up to $105 per hour, 20+ hours a week, and flexible asynchronous work for candidates in the United States.

Remote Hourly · $105/hr

$105/hr

Compensation

Contract, part-time

Engagement

Remote

Location

Posted

Open to applicants in

United States

You will help improve and evaluate language models for professional business use. Your work will focus on business communication, strategy, corporate storytelling, and other high-stakes workplace content.

• Write prompts for business communication and professional use cases.
• Rate language-model responses for quality, relevance, clarity, and suitability in business settings.
• Research business topics with help from AI and use the results to support evaluations.
• Use judgment from executive communications, strategic business cases, investor presentations, client proposals, and board-level presentations.
• Work asynchronously with multidisciplinary AI research teams.
• Contribute to projects that may run year-round, subject to project availability.

The work requires professional judgment, clear communication, and experience presenting complex ideas to senior audiences.

• Pay: up to $105 per hour.
• Time: 20 or more hours per week.
• Location:
  
  Open to candidates in the United States.
• Experience:
  
  At least four years as a data scientist, data analyst, database architect, or database administrator.
• Translate complex ideas into clear, persuasive presentations for executive or board-level audiences.
• Experience with multidisciplinary collaboration and data-driven storytelling.
• Work independently and asynchronously with AI research teams.
• Assess language-model responses in professional business contexts.
• Helpful background includes strategic business cases, investor presentations, client proposals, executive communications, and board-level materials.

AI training is the human work behind systems that write and understand language. People review examples, create prompts, and judge model responses so AI systems become more useful and reliable, while professional expertise helps guide performance in specialized settings.