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General Data Annotation Specialist

CloudFactory Uganda Type not specified Posted 2026-08-19
DistrictNot specifiedCityNot specifiedContractType not specifiedPosted2026-08-19Close dateNot specifiedExperience5 yearsSourceUgandan Jobline
data annotationAI trainingKampalaUgandadata entrytechnologydetail-orientedshortlisted onlyfactoryno_experienceentregadorsem_experiencia
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AI summary

CloudFactory is hiring a General Data Annotation Specialist in Kampala, Uganda. The role involves reviewing, labeling, and structuring text, image, audio, and document data to train and improve AI models, while meeting quality and productivity targets. Applicants should have strong attention to detail, good English comprehension, basic digital literacy, and be comfortable with repetitive, accuracy-focused work.

  • Role based in Kampala, Uganda
  • Work directly supports AI model training and improvement
  • Requires strong attention to detail and English comprehension
  • Basic digital literacy and typing accuracy needed
  • Previous data annotation or data entry experience is an advantage
  • Only shortlisted candidates will be contacted

AI job guide

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AI salary guide

Not enough public data

Not enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.

Can you qualify for this role?

  • Required5+ years of relevant experienceThe job post includes a minimum experience signal.
  • RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
  • PreferredPractical evidence in factory, no_experience, entregadorThe tags and summary point to skills connected with this role.
  • RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.

Documents to prepare

  • Likely requiredUpdated CV
  • Role specificCover letter or short employer message
  • OptionalProfessional references
  • Role specificAcademic or professional certificates
  • VerifyID or passport only after verifying the employer

Application tips for this job

  • Place your strongest General Data Annotation Specialist evidence in the first half of your CV.
  • In your cover letter or employer message, connect your experience to CloudFactory and the role in Not specified.
  • Add concrete examples related to factory, no_experience, entregador, ideally with measurable outcomes or clear responsibilities.
  • Follow the instructions from Ugandan Jobline; avoid sending documents to unofficial contacts or copied links.
  • Confirm the deadline, interview location and employer contact before sharing personal documents.
  • Prepare a polite question about pay, benefits and contract terms for later interview stages.

Source and safety check

  • Ugandan Jobline
  • Original source link available
  • Application method is clear
  • Deadline not specified
  • No major risk signal was detected in the captured text.

Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.

Interview preparation

  • What experience makes you a strong fit for this General Data Annotation Specialist role in factory, no_experience?
  • How have you handled responsibilities similar to those in this job post?
  • Are you available to work in Not specified under the listed contract or schedule?
  • Prepare examples with clear responsibilities, tools used and measurable outcomes.
  • Review the source and research CloudFactory before the interview.

Ask what the first priorities will be in the role and how success will be measured.

Use AI to apply better

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Original source description

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General Data Annotation Specialist Jobs – CloudFactory

CloudFactory

Posted

10 hours ago

Closes 15 Sep

☆

Job Title:

General Data Annotation Specialist

Organisation:

CloudFactory

Duty Station:

Kampala, Uganda

About Organisation:

CloudFactory is a global technology company that provides AI enablement platforms, AI consulting, and structured data processing. Founded in 2010 by Mark Sears, the company connects machine learning teams with a managed, global workforce to train, validate, and run AI models safely.

Job

Summary

  • 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 Duties and

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
  • Qualifications, Skills and

Experience

  • 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
  • in data annotation, data entry, or similar work is a plus
  • How to Apply:
  • All suitably qualified and Interested applicants should apply online at the link below.
  • Opens the employer’s application page
  • Apply Now →
  • NB: Only shortlisted candidates will be contacted.
  • For more of the latest jobs, please visit
  • https://www.theugandanjobline.com
  • or find us on our facebook page
  • https://www.facebook.com/UgandanJobline
  • Level of
  • in Months: 60
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Education

  • bachelor degree
  • Work Hours: 8
Source and provenanceSource: Ugandan Jobline. Last checked: 2026-08-25.Kazi Connect is a job discovery service, not the employer. Always confirm the vacancy at the original source.Summaries may be AI-assisted. Report inaccurate content.
Never pay to apply. Always confirm the original source and watch for payment requests, sensitive document requests, or unrealistic promises.