Human Data Operations Manager Candidate

OpenTrain AI, Inc.; Asia; Remote; PEN 71,000 - 118,000; Part time

Job summary

OpenTrain AI, Inc. is seeking a part-time data operations professional to design, manage, and improve data annotation, collection, processing, and analysis workflows for AI training.

The role emphasizes hands-on data quality oversight, KPI tracking, and cross-functional reporting. Applicants should have a degree in CS/data analytics or a related field, strong English communication skills, and experience with data analysis tools like Excel, Tableau, Power BI, Python, and SQL.

Qualifications

• Bachelor's or master's degree in computer science, data analytics, industrial engineering, operations management, economics, finance, or a related field.
• Professional fluency in English.
• Experience with data analysis, annotation, data management, or workflow optimization.

Responsibilities

• Design, build, and manage data annotation, collection, processing, and analysis workflows.
• Establish and monitor KPIs for operational performance.
• Analyze datasets, identify useful findings, and communicate data-based recommendations.
• Create reporting frameworks and coordinate data strategies across functions.
• Improve processes for scalability, data integrity, and consistent quality.
• Take ownership of operational problems and help resolve them proactively.

Skills

Data analysis

Data annotation

Data management

Workflow optimization

Collaboration

Education

Bachelor's or Master's degree in a relevant field (CS / analytics / engineering / economics)

Tools

Excel

Tableau

Power BI

Python

SQL

Job description

The work

You will manage the workflows used to collect, annotate, process, and analyze human data for AI training. The role combines operational planning with hands‑on data-quality oversight and process improvement.

• Design, build, and manage data annotation, collection, processing, and analysis workflows.
• Establish and monitor key performance indicators, or KPIs, for operational performance.
• Analyze datasets, identify useful findings, and communicate data-based recommendations.
• Create reporting frameworks and coordinate data strategies across functions.
• Improve processes for scalability, data integrity, and consistent quality.
• Take ownership of operational problems and help resolve them proactively.

What it pays and takes

Pay details are not provided for this role. The position is designed for someone with technical judgment, operational discipline, and an interest in improving how human data is organized and validated.

• Contract role with part‑time classification and a requirement of 20 or more hours per week.
• Remote work arrangement.
• Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
• Professional fluency in English.
• Bachelor's or master's degree in computer science, data analytics, industrial engineering, operations management, economics, finance, or a related field.
• Technical ability in data analysis, annotation, data management, or workflow optimization.
• Familiarity with operational processes and the ability to explain data-based findings clearly in writing and conversation.
• Strong collaboration skills, attention to detail, and care for data quality and validation.
• Prior AI experience is not required.
• Experience with Excel, Tableau, Power BI, Python, or SQL can support the reporting and analysis work.
• Internship or project experience in data management, machine learning, human data, or process optimization is relevant.

About AI training work

AI training work is the human side of building artificial intelligence. People prepare and review examples, such as labeled data and model outputs, so AI systems can learn from clearer, more reliable information. OpenTrain helps people find these roles, build a profile, and apply in minutes.