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अडथळे पार करणे

Data Annotation Specialist

Crossing Hurdles

Remote · करार

अर्ज करणारे पहिले व्हा

अनुभव
कोणतेही
पगार
२० अमेरिकी डॉलर – २० अमेरिकी डॉलर प्रति तास
रिक्त जागा
1
पोस्ट केले
2 आठवडे पूर्वी
कार्य मोड
घरून काम करा
पात्रता
Candidates with substantial relevant experience in data annotation, labeling, or machine-learning data preparation are suited for this role.
सारांश
अर्ज करणे आवश्यक आहे

नोकरीचे वर्णन

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.

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