The work
Create, refine, and assess communications strategy questions and case studies used to improve AI systems. You will apply practical knowledge of messaging, content strategy, public relations, and media planning to realistic scenarios.
You will also review model responses and give detailed feedback on accuracy, strategic judgment, and alignment with communications best practices. The work includes adjusting question difficulty so training content is challenging and useful.
- Develop scenarios about message development, audience targeting, media planning, crisis management, content creation, brand positioning, and stakeholder engagement.
- Test whether AI systems can apply communications principles to real-world media and public relations situations.
- Evaluate written responses for accuracy, strategic judgment, and communications quality.
What it pays and takes
This is a remote, flexible, asynchronous contractor engagement.
- Pay: $55 per hour.
- Time: 20 or more hours per week.
- Work arrangement: Remote, flexible, asynchronous, part time, and contract.
- Location: Open to candidates in the countries listed for this role.
- Language: Professional fluency in English.
- Education: A bachelor's degree in communications, journalism, public relations, media studies, or a related field, or equivalent professional experience.
- Experience: Background in media production, communications strategy, public relations, or journalism.
- Skills: Strong knowledge of media platforms and communication channels, excellent analytical and written communication skills, strong verbal communication, and close attention to detail.
- Helpful background: Experience with broadcast, digital, print, or social media; communications campaigns; media publications; industry thought leadership; crisis communications; brand management; content strategy; media relations; or technology-driven media applications.
How it works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI training work
AI training is the human work behind modern AI systems. People write examples, review model responses, and provide feedback so models can produce more accurate and useful results, which is why communications expertise matters in this role.