A data management firm is seeking a Human Data Manager (Early Career) in India for a remote, hourly contract position. The role involves designing data workflows, analyzing datasets, and collaborating with teams to optimize operations. Candidates should hold a Bachelor’s or Master’s degree in relevant fields with strong data analysis and communication skills. This position offers flexibility with a commitment of 10–40 hours per week, ideal for those interested in AI and performance optimization.
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.
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
Data annotation
Workflow optimization
Communication skills
Analytical thinking
Education
Bachelor’s or Master’s degree in Computer Science, Data Analytics, Engineering
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