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Data Annotation Contract Remote

Generalist for Data Annotation - Remote.

Remote Generalist for Data Annotation role requiring attention to detail and strong communication skills to support AI training projects.

Compensation

$44K–$73K

yearly · USD

Experience

1–15 yrs

Location

Remote

Northern Africa

The Brief

TITLE

Generalist for Data Annotation - Remote

TEAM

Data Annotation

TYPE

Contract

POSTED

Nov 7, 2026

JOB ID

01a1b4ff

Attention To Detail Visual Analysis Image Annotation Tools Communication Analytical Thinking Organizational Skills Problem Solving Time Management Independent Work Collaboration Adaptability

Generalist for Data Annotation - Remote

Compensation: $43,680–$72,800 annually (equivalent to $21–$35 per hour, based on 40 hours per week)
Engagement Type: Contractor
Work Arrangement: Remote

Role Overview

We are seeking detail-oriented Generalists for Data Annotation to support projects focused on training and improving next-generation AI systems. The role involves labeling, categorizing, and reviewing image data to produce accurate, high-quality datasets that help AI models learn, interpret visual information, and improve their performance.

You will apply structured annotation guidelines, assess the quality of labeled data, and work with a distributed project team to ensure consistency and accuracy. No previous AI experience is required. Relevant domain knowledge, strong analytical abilities, and the ability to interpret detailed instructions are essential.

Key Responsibilities

  • Annotate, label, and categorize image datasets according to project-specific guidelines and classification standards.

  • Examine visual content to identify relevant objects, features, patterns, and other elements requiring annotation.

  • Review completed annotations to ensure accuracy, completeness, and consistency with established quality requirements.

  • Identify, investigate, and correct labeling errors, inconsistencies, and discrepancies.

  • Apply updated annotation standards and incorporate feedback to maintain quality and improve output.

  • Collaborate with project teams and stakeholders to clarify instructions, resolve questions, and ensure consistent interpretation of requirements.

  • Document annotation methodologies, labeling decisions, and relevant observations.

  • Provide constructive feedback on annotation workflows and identify opportunities for process improvement.

  • Manage assigned tasks independently and deliver completed work within established timelines.

Required Qualifications & Skills

  • Strong attention to detail and the ability to accurately interpret visual information.

  • Excellent written and verbal communication skills.

  • Ability to follow detailed instructions and apply classification guidelines consistently.

  • Familiarity with image annotation tools, platforms, or data labeling workflows.

  • Strong analytical, organizational, and problem-solving abilities.

  • Commitment to producing accurate, consistent, and high-quality work.

  • Effective time management and ability to meet project deadlines.

  • Ability to work independently and collaborate with distributed teams in a remote environment.

  • Adaptability when working with evolving guidelines, tools, and project requirements.

Preferred Qualifications

  • Previous experience in image annotation, data labeling, or related data annotation projects.

  • Experience with quality assurance, dataset validation, or reviewing annotated information.

  • Background in computer vision, data analysis, image processing, or related technical disciplines.

  • Experience working with structured data classification processes and annotation quality standards.

Compensation

The position offers an hourly rate of $21–$35, equivalent to approximately $43,680–$72,800 annually, calculated on a 40-hour workweek over 52 weeks.

As this is a contractor engagement, actual annual earnings will depend on project availability, assigned hours, and continuity of work.

Application Process

Apply directly through the job application link. Previous AI experience is not required; candidates will be evaluated on their relevant knowledge, attention to detail, communication skills, and ability to deliver accurate annotation work.

About the company

FreshTalent is a Pan-African talent platform connecting students, graduates, and experienced professionals with employers across Africa. We help organizations discover exceptional talent while empowering individuals to access meaningful career opportunities, internships, graduate programs, and remote work.

Our platform combines AI-powered talent matching, employer branding, recruitment marketing, career development resources, and workforce insights to create a seamless hiring experience for employers and job seekers alike. We work with startups, SMEs, multinational organizations, NGOs, and public sector institutions seeking to build diverse, future-ready teams.

Beyond connecting talent with opportunities, FreshTalent is committed to strengthening Africa's workforce by improving employability, supporting career development, and helping organizations unlock the continent's immense talent potential.