Hiring For Data Annotation

Candidates are requested to mention "HR Naaz":

• While scanning the QR code at the office
• On the top of their resume

Job Summary:
A Data Annotator is responsible for labeling, categorizing, and reviewing data such as text, images, audio, and video to help train and improve Artificial Intelligence (AI) and Machine Learning (ML) models.

Key Responsibilities:

• Annotate and label datasets according to project guidelines.
• Review and categorize text, images, audio, or video data accurately.
• Identify objects, entities, sentiments, keywords, and other required data attributes.
• Perform quality checks on annotated data and correct errors.
• Follow detailed annotation guidelines and maintain consistency.
• Meet daily/weekly productivity and accuracy targets.
• Report unclear or incorrect data to the team lead or quality team.
• Maintain confidentiality and follow data security policies.
• Collaborate with quality analysts and project teams to improve annotation processes.

Required Skills:

• Good attention to detail and accuracy.
• Basic computer and internet skills.
• Good English communication and comprehension.
• Ability to follow instructions and guidelines.
• Strong analytical and problem-solving skills.
• Ability to work independently and meet deadlines.
• Basic knowledge of AI/ML concepts is an advantage.

Requirements:

Minimum 6 months of experience in Data Annotation

• Must be flexible to work in complete night shifts
• Candidates who can join immediately are preferred
• Good attention to detail and ability to follow annotation guidelines
• Ability to maintain accuracy and quality while working on large datasets
• Good communication and teamwork skills

Experience:

Minimum 6 months into Data Annotation

Shift: Complete Night Shift

Joining: Immediate Joiners preferred

Benefits

• Competitive Salary
• Two-way Cab Facility (within hiring radius)
• Career Growth & Learning Opportunities
• Employee Engagement Activities

Contact Details

HR: NAAZ

Phone: [phone removed]

Email: [email removed]

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