Human Data Associate | $45/hr Remote

Crossing Hurdles; South Africa; Remote; ZAR 695,055 - 1,042,583; Part time

Job summary

A forward-thinking organization in South Africa is seeking a Human Data Manager (Early Career) to design and manage data workflows, analyze datasets for actionable insights, and optimize operational performance. This remote position offers hours ranging from 10 to 40 per week and requires a Bachelor's or Master's degree in a relevant field alongside strong experience in data analysis and communication skills. Ideal for individuals interested in AI systems and human data operations.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Engineering, or related fields.
• Strong experience in data analysis, annotation, or workflow optimization.
• Excellent written and verbal communication skills for presenting insights.

Responsibilities

• Design and manage data workflows for annotation, collection, processing, and analysis.
• Establish and monitor KPIs to improve operational performance and efficiency.
• Analyze datasets to generate actionable insights and support decision-making.

Skills

Data analysis

Workflow optimization

Communication skills

Analytical thinking

Education

Bachelor’s or Master’s degree in Computer Science

Job description

Overview

Position: Human Data Manager (Early Career)

Type: Hourly contract

Compensation: $30 - $45/hour

Location: Remote

Commitment: 10–40 hours/week

Responsibilities

• Design and manage data workflows for annotation, collection, processing, and analysis.
• Establish and monitor KPIs to improve operational performance and efficiency.
• Analyze datasets to generate actionable insights and support decision-making.
• Collaborate with cross-functional teams to align data strategies with business goals.
• Build and maintain reporting frameworks to track key metrics and workflow improvements.
• Continuously refine processes to ensure scalability, accuracy, and data integrity.
• Take ownership of operational challenges and proactively implement solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Engineering, or related fields.
• Strong experience in data analysis, annotation, or workflow optimization.
• Familiarity with operational processes and process improvement practices.
• Excellent written and verbal communication skills for presenting insights.
• Strong analytical thinking with attention to detail in data validation.
• Ability to work independently in a fast-paced, remote environment.
• Interest in AI systems, human data operations, and performance optimization.

Application Process

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