Data Quality Associate | $75/hr Remote
Crossing HurdlesThe Data Quality Associate role at Crossing Hurdles offers a unique opportunity to design and manage data workflows remotely, collaborating with cross-functional teams to enhance data quality. With flexible hours and a focus on process improvement, this position is ideal for candidates passionate about data analysis and operational efficiency.
Skills & Expertise
Key Responsibilities
Design and manage data workflows for annotation and analysis.
Establish and track KPIs to enhance data quality and efficiency.
Analyze datasets and recommend process improvements.
Full Description
Position: Human Data Manager
Type: Hourly contract
Compensation: $40 - $75/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
* Design and manage data workflows for annotation, collection, processing, and analysis.
* Establish and track KPIs to improve operational efficiency and data quality.
* Analyze datasets to identify insights and recommend process improvements.
* Collaborate with cross-functional teams to align data operations with business objectives.
* Build and maintain reporting systems to monitor metrics and workflow performance.
* Continuously refine processes to ensure scalability, accuracy, and data integrity.
* Take ownership of operational challenges and proactively implement solutions.
Requirements
* 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 and attention to detail in data validation.
* Ability to work independently in a fast-paced, remote environment.
* Strong collaboration skills to work effectively with cross-functional teams.
* Interest in AI systems, human data operations, and performance optimization.
Application Process (Takes 20 Min)
* Easy Apply on LinkedIn
* Check email for next steps
* Participate in resume evaluation & interview stage