General Data Annotation Specialist at CloudFactory — Remote (Kenya)

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    General Data Annotation Specialist

    CloudFactoryRemote (Kenya)

    Posted

    5 days ago

    Apply by

    1 Sept

    Full Time
    Remote
    Entry
    ICT & Telecommunications
    IT & Software

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    Job Description

    As a Data Annotation Specialist, you'll help train and improve AI systems by reviewing, labeling, and structuring data across a variety of formats text, images, audio, or documents. Your work will directly impact how AI models learn and perform in real-world applications.

    Key Responsibilities

    • Review and annotate data according to detailed guidelines
    • Label, classify, or extract information from datasets with high accuracy
    • Maintain quality and productivity targets
    • Identify edge cases, inconsistencies, or unclear data
    • Follow feedback and continuously improve annotation quality
    • Collaborate with reviewers and project leads when needed

    Required Qualifications

    • Strong attention to detail and consistency
    • Good problem-solving and critical thinking skills
    • Comfortable working with repetitive, accuracy-focused tasks
    • Able to follow structured guidelines precisely
    • Reliable, organized, and quality-driven
    • Good English reading and comprehension skills
    • Basic digital literacy spreadsheets, online tools, platforms
    • Typing accuracy and efficiency
    • Previous experience in data annotation, data entry, or similar work is a plus

    Job Details

    Job Function

    IT & Software

    Languages

    English

    Additional Information

    How to Apply: Interested and qualified? Go to CloudFactory on jobs.workable.com to apply.

    Show Precision and Consistency in Your Application

    Data annotation roles hinge on your ability to follow guidelines exactly and spot subtle details. Hiring managers will look for evidence of your accuracy and reliability in your CV and any assessments.

    1. Highlight relevant experience: Even if you haven't done data annotation, emphasize any data entry, transcription, or quality check work. Describe how you maintained accuracy and met targets.

    2. Demonstrate attention to detail: Ensure your CV is error-free and well-formatted. Mention any tasks where you caught errors or improved processes.

    3. Show your digital literacy: List tools you're comfortable with, like spreadsheets, Google Workspace, or annotation platforms. Provide examples of how you've used them.

    4. Prepare for a skills test: Many annotation roles include a practical test. Practice following instructions carefully and working quickly without sacrificing accuracy.

    5. Emphasize your English comprehension: Since the role requires reading and understanding guidelines, highlight any certifications or experiences that demonstrate your English proficiency.

    6. Show reliability and organization: Provide examples of meeting deadlines, managing your time, or working independently. These traits are crucial for remote work.

    7. Be ready to discuss edge cases: Think about how you would handle ambiguous data or unclear instructions. Prepare to explain your approach to asking for clarification or making judgment calls.

    8. Research AI and data annotation: Show that you understand the bigger picture of how your work contributes to AI development. This can set you apart as a motivated candidate.

    CareerSasa Safety Alert: Never pay employers or agencies for interviews, training, or job placement. Does a job request payment? Report it immediately using the "Flag" button. While CareerSasa vets job postings thoroughly, always verify opportunities independently.
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    Tags

    data annotation
    AI
    attention to detail
    English
    digital literacy