Remote Data Annotation Specialist for AI Training

Crossing Hurdles; South Africa; Remote; ZAR 80,000 - 120,000; Full time

Job summary

Crossing Hurdles is seeking a data annotation specialist to support AI training and validation. The role focuses on analyzing diverse data sets and delivering high-quality written feedback in a fully remote environment.

Candidates should demonstrate strong English fluency, critical thinking, and attention to detail, with experience in data labeling being a plus. The position offers remote work with flexibility and collaboration across teams.

Qualifications

• Exceptional command of written and spoken English.
• Strong critical thinking and analytical skills.
• Proven ability to deliver precise, detail-oriented work.
• Experience with data labeling or annotation projects (a plus).
• Comfort working in a fully remote, digital-first environment.

Responsibilities

• Analyze, evaluate, and annotate a variety of data sets to support AI system training and validation.
• Deliver clear, high-quality written input and feedback based on project requirements.
• Review, refine, and improve model outputs to ensure relevance and accuracy.
• Engage in problem-solving tasks that require critical thinking and depth of understanding across multiple domains.
• Follow project guidelines and participate in quality assurance processes to consistently meet deliverable standards.
• Communicate findings and insights effectively through written and verbal channels.

Skills

Written English

Critical thinking

Analytical skills

Detail-oriented

Data labeling experience

Job description

• Analyze, evaluate, and annotate a variety of data sets to support AI system training and validation.
• Deliver clear, high-quality written input and feedback based on project requirements.
• Participate in reviewing, refining, and improving model outputs to ensure relevance and accuracy.
• Engage in problem-solving tasks that require critical thinking and depth of understanding across multiple domains.
• Follow project guidelines and participate in quality assurance processes to consistently meet deliverable standards.
• Communicate findings and insights effectively through both written and verbal channels.

Requirements

• Exceptional command of written and spoken English.
• Strong critical thinking and analytical skills.
• Proven ability to deliver precise, detail-oriented work in independent and collaborative settings.
• Experience with any type of data labeling or annotation projects (a plus, but not required).
• Comfort working in a fully remote, digital-first environment.

Application Process

• Easy Apply on LinkedIn
• Participate in resume evaluation & interview stage