- Expérience
- N'importe lequel
- Salaire
- USD 40 – USD 55 / hour
- Ouvertures
- 1
- Publié
- il y a 3 heures
- Work mode
- Travaillez à domicile
- Éducation
- Bachelor's degree
- Eligibility
- New graduates who have a background in Computer Science, Data Analytics, Engineering, or a related discipline and are comfortable working remotely.
- Resume
- Required to apply
Description de l'emploi
Overview
This is a remote hourly contract role for a Human Data Manager focused on building and improving data operations. The position is designed for a new graduate and offers pay in the range of $40 to $55 per hour. The expected weekly commitment is between 10 and 40 hours.
What you'll do
- Build and oversee workflows for data annotation, data collection, processing, and analysis.
- Set key performance indicators and use them to improve efficiency and overall operational results.
- Work through datasets to uncover useful insights that can guide decisions.
- Partner with teams across the business to make sure data operations support broader goals.
- Create reporting systems that monitor metrics, quality, and workflow health.
- Improve processes continuously so the work can scale while staying accurate and consistent.
- Handle operational issues proactively and put practical fixes in place.
Requirements
- A bachelor's or master's degree in Computer Science, Data Analytics, Engineering, or a closely related field.
- Hands-on exposure to data analysis, annotation, or workflow improvement.
- Understanding of operational procedures and process improvement approaches.
- Strong verbal and written communication skills for clear presentation of findings.
- Sharp analytical ability with careful attention to data quality and validation.
- Comfort working on your own in a fast-moving remote setting.
- Genuine interest in AI systems, human data operations, and performance optimization.
Application process
The hiring process is intended to take about 20 minutes and includes an application step, an email follow-up, and a resume review plus interview stage.