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Crossing Hurdles

Data Annotation Specialist

Crossing Hurdles

Remote ஒப்பந்தம்

முதல் ஆளாக விண்ணப்பிக்கவும்

அனுபவம்
ஏதேனும்
சம்பளம்
USD 20 – USD 20 / hour
காலியிடங்கள்
1
பதிவுசெய்யப்பட்டது
2 மணி நேரம் முன்
Work mode
வீட்டிலிருந்து வேலை
Eligibility
Candidates with substantial relevant experience in data annotation, labeling, or machine-learning data preparation are suited for this role.
Resume
Required to apply

பணி விளக்கம்

Role Overview

This is a remote contract opportunity for a Data Annotation Generalist focused on preparing high-quality datasets for machine learning use cases. The role pays $20 per hour and is expected to involve 10 to 40 hours of work each week.

Key Responsibilities

  • Apply labels, categories, and annotations to a variety of datasets with a high level of consistency and accuracy.
  • Check existing annotations, verify their correctness, and make fixes where needed to preserve data quality.
  • Work closely with the client’s team to understand task requirements and clear up any unclear instructions.
  • Keep written records of annotation methods and decisions so the project remains transparent and easy to track.
  • Share suggestions that can improve annotation tools, workflows, and guidance documents.
  • Adjust quickly to different annotation projects, data formats, and changing task instructions.

Requirements

  • Prior hands-on experience in data annotation, data labeling, or preparing datasets for machine learning work.
  • Very strong attention to detail and a consistent focus on accuracy and quality.
  • Excellent written and spoken communication skills, with the ability to collaborate clearly and effectively.
  • Ability to understand complicated instructions and apply them reliably across large volumes of data.
  • Familiarity with annotation tools or platforms commonly used in AI or data science workflows.

Additional Information

Role title: Data Annotation Generalist. Employment type: Contract. Compensation: $20/hour. Work mode: Remote. Weekly commitment: 10–40 hours.

Application Process

  • Submit an easy application online.
  • Watch for follow-up communication by email.
  • Complete the resume review and interview steps.

பதில் வேண்டுமென்றால் இதை அப்படியே விட்டுவிடுங்கள் — நாங்கள் இதை வேறு எதற்கும் பயன்படுத்த மாட்டோம்.

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