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Data Annotator

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We’re looking for a Data Annotator (AI Training & Annotation) to support large-scale AI training projects focused on conversational data. You’ll work on detailed annotation and labeling tasks that help improve machine learning models — turning real, anonymized human conversations into structured datasets used to train next-generation AI.

This role is ideal for someone who’s detail-oriented, tech-savvy, and curious about how AI systems learn from human input. You’ll be part of a small, focused team working at the intersection of AI, data privacy, and voice technology.

🎁 Perks & Benefits

  • 💵 Paid in USD, every 15th & 30th of the month
  • 🏖️ Up to 14 days of Paid Time Off annually (starting Day 1)
  • 📅 Observance of Holidays based on your location
  • 🏡 100% remote – work from anywhere with reliable internet
  • 🧠 Gain hands-on experience in AI data operations and machine learning pipelines
  • 🚀 Be part of a company redefining how users own and profit from their data

🧩 What You’ll Be Doing

🎧 Annotation & Labeling

  • Listen to recorded, anonymized voice data and accurately label key components such as intent, sentiment, or conversation type.
  • Tag and categorize speech segments following specific project guidelines.
  • Conduct data quality reviews to ensure accuracy, clarity, and consistency across annotations.

🧠 AI Training Support

  • Contribute to building training datasets for natural language processing (NLP) and speech recognition models.
  • Collaborate with the QA and engineering teams to clarify labeling logic and improve annotation tools.
  • Provide feedback on data irregularities, unclear prompts, or edge cases to refine future project criteria.

📊 Documentation & Process Optimization

  • Maintain clear labeling logs and progress reports.
  • Follow and update annotation guidelines as project requirements evolve.
  • Suggest process improvements or automation opportunities to boost efficiency.

✅ Who You Are

  • 2+ years of experience in data labeling, annotation, or AI training support.
  • Comfortable working with audio, text, image, or video data.
  • Strong attention to detail and commitment to high-quality output.
  • Familiarity with annotation platforms or labeling tools (e.g., Labelbox, Scale AI, Dataloop).
  • Fluent in English (verbal and written), with solid comprehension of conversation nuance and tone.
  • Self-motivated, dependable, and able to meet tight deadlines.

Bonus Points

  • Prior experience labeling speech, transcription, or NLP datasets.
  • Background in linguistics, AI, or data operations.
  • Experience with OCR or multimodal data labeling.

📩 How to Apply

Please submit:

  1. ✅ Your updated resume
  2. ✅ A short Loom video (1–2 mins) introducing yourself and describing your experience with data labeling or AI training projects

🧠 If you’re fascinated by how human data trains intelligent systems and want to help shape the next generation of conversational AI, we’d love to hear from you.

📩 Application Process Overview

Our comprehensive selection process ensures we find the right innovative fit:

  1. Initial Application - Submit your application and complete our prequalifying questions
  2. Video Introduction - Record a brief video introduction showcasing your communication skills and work experience
  3. Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
  4. Recruitment Interview - Initial screening focusing on technical skills and innovation mindset
  5. Executive Interview - Discuss role alignment, experimentation approach, and career goals
  6. Client Interview - Final interview covering workflow integration and team collaboration
  7. Background & Reference Check - Professional reference verification
  8. Job Offer - Successful candidates receive a formal offer with a competitive compensation package

We provide feedback at each stage and maintain transparent communication throughout the process.

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