Data Operations Manager | $45/hr Remote
Crossing HurdlesAs a Data Operations Manager at Crossing Hurdles, you'll play a crucial role in optimizing data workflows and processes while collaborating with cross-functional teams. This remote contract position offers the opportunity to impact decision-making through data analysis and workflow improvement, all within a supportive environment focused on performance optimization.
Skills & Expertise
Key Responsibilities
Design and manage data workflows for annotation and processing.
Establish and monitor KPIs to improve operational performance.
Analyze datasets to generate actionable insights for decision-making.
Full Description
Position: Human Data Manager (Early Career)
Type: Hourly contract
Compensation: $30 - $45/hour
Location: Remote
Commitment: 10–40 hours/week
Role 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.
Requirements
* 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 (Takes 20 Min)
* Easy Apply on LinkedIn
* Check email for next steps
* Participate in resume evaluation & interview stage