We’re excited to share that Innodata Inc. is expanding its AI and Machine Learning Talent Network, and we’re looking for passionate, detail-oriented professionals to join us as Data Annotators and Content Moderators (Review & Labeling).

If you enjoy working with data, have a strong eye for detail, and wish to contribute to real-world AI innovation, this is a wonderful opportunity to become part of a forward-thinking global team.

🔹 Role Details

• Work Mode: Remote
• Engagement Type: Contract 1-3 Months
• Daily Commitment: 5–6 hours
• Pay Rate: $6 per hour

🔹 Key Responsibilities

• Review, label, and moderate online content (may include sensitive material).
• Ensure data accuracy, consistency, and overall quality.
• Contribute to building AI training datasets for next-generation systems.
• Provide feedback and insights to enhance ongoing processes.

🔹 Requirements

• Minimum qualification: High School Graduate (or higher).
• Strong command of English (written and verbal).
• Excellent analytical and communication skills.
• Comfortable working with diverse content types.
• Access to a private, secure workspace with stable internet.

📋 Next Steps: Evaluation Process

To proceed with your application, please complete the following assessments:

1️⃣ Assessment Test

Assesses your linguistic and analytical skills.

LLM Evaluation Test:

https://icap.innodata.com/registerfreelancer?enc=oUTZVsr/Pnz/0Xygc2EK3yDjFSl6saFaJ7PMIm28opqAPwT2LJJQDD68MkY6jszYhhsYYecqmKWja8eKXV801gezikielezikiel

Please note that keeping your camera & location on is mandatory during the assessment. Submissions without camera & location compliance may not be considered.

2️⃣ Versant English Proficiency Test

Evaluates your spoken and written English proficiency.

A C1 or C2 level is required to qualify.

✅ Once both assessments are successfully completed, you’ll be eligible for onboarding and background verification.

If you’re detail-oriented, tech-curious, and eager to contribute to the future of AI, we’d love to have you in our growing network.

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