Remote AI Annotator - 32449

Remote AI Annotator - 32449

Turing

Engineering & Technology Rest of Nigeria (Nationwide) Confidential

• Minimum Qualification :

Job Description/Requirements

Join a leading U.S.-based AI company as a Remote AI Annotator, where you will help improve large language models (LLMs) by documenting real-world digital workflows. This role involves identifying realistic user scenarios, building prompts, and providing step-by-step descriptions of expected AI performance.

Job Responsibilities:

• Train LLMs by annotating workflows across various digital tools like Microsoft Office, Google Suite, Dropbox, Notepad, Web Browsers, PDF Readers, Calculator, Slack, Zoom, Canva, and Adobe Photoshop.
• Identify and document common user tasks, ensuring precise, structured, and easy-to-follow instructions.
Provide detailed prompts and expected AI responses for real-world digital workflows.

Sample tasks include:

• Creating an Excel sheet with sales data, building a pivot table, and applying conditional formatting to highlight sales above $10,000.
• Designing a 1080x1080px Instagram post in Canva with a "Flash Sale 50% Off" text, a bright background, and a company logo, then exporting it as a PNG.
Setting up a Google Form titled "Q1 Team Feedback Survey" with rating-scale and open-ended questions, sharing it in Slack, and pinning the message for easy access.

Job Requirements:

• Strong English reading and writing comprehension.
• Attention to detail and ability to document workflows accurately.
• Pursuing or completed a Bachelors degree in Engineering, Literature, Journalism, Communications, Arts, Statistics, or a related field.
A minimum 2-5 hour work overlap with PST (UTC-8:00) is required.

Perks:

• Work on AI projects with top LLM companies.
• Flexible working hours in a fully remote contractual role.
• Salary range: $500 - $1000 per month, based on experience and expertise.
Gain hands-on experience in AI model training and workflow optimization.

Application Process:

• Shortlisted candidates will receive an automated analytical challenge.
Upon successfully clearing the challenge, candidates will proceed to onboarding.

<