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Bridge Co. Connecting Enterprises with Talent, AI Partnership

 

Connecting Exceptional Talent with Global Opportunities

 

 
Human Data Manager
$40–$60 per hour | Remote | Full-Time | 1 opening
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Overview:

 

Our client is seeking an experienced Human Data Manager to join an innovative AI training initiative. This role is ideal for professionals with a strong background in data operations, workflow management, and process optimization who are passionate about improving the quality and efficiency of data-driven systems.

 

In this position, you'll use your expertise to design and manage robust data workflows that contribute to the development of next-generation AI systems. Your experience in operational excellence, data quality, and analytics will play a key role in shaping how AI models learn and perform. No previous AI experience is required—your practical knowledge and analytical skills are what matter most.

 

Responsibilities:
 
  • Design, build, and manage scalable data workflows for annotation, collection, processing, and analysis.
  • Establish and monitor key performance indicators (KPIs) to improve operational efficiency.
  • Analyze datasets to identify trends and deliver actionable recommendations.
  • Collaborate with cross-functional teams to align data strategies with business goals.
  • Develop and maintain reporting frameworks to track operational metrics and workflow performance.
  • Continuously improve processes to enhance scalability, efficiency, and data quality.
  • Ensure data integrity, accuracy, and compliance with quality standards.
  • Take ownership of operational challenges and proactively implement effective solutions.
 
Requirements:

 

  • Experience in data analysis, data annotation, or workflow optimization.
  • Strong understanding of operational processes and continuous improvement methodologies.
  • Excellent analytical and problem-solving skills.
  • Ability to interpret complex datasets and communicate insights effectively.
  • Strong written and verbal communication skills.
  • Close attention to detail and commitment to data quality.
  • Ability to work independently in a fast-paced remote environment.
  • Excellent collaboration and organizational skills.
 
Preferred Qualifications:

 

  • Background in engineering, technology, operations, or related technical disciplines.

  • Experience with human data projects or operational workflow management.
    Proficiency with data visualization tools such as:

  • Microsoft Excel

  • Tableau

  • Power BI

  • Familiarity with programming languages such as:

  • Python

  • SQL

  • Experience with AI/ML projects, data management, or process optimization is an advantage.

 
Benefits:

 

  • Competitive compensation ($40–$60/hr).
  • Fully remote full-time position.
  • Opportunity to contribute to cutting-edge AI initiatives.
  • Work with a collaborative and globally distributed team.
  • Gain experience in advanced data operations and AI training projects.
  • Professional development and career growth opportunities.
  • Flexible remote work environment.
  • Meaningful projects with real-world impact.
 
Hiring Process:

 

Step 1: Submit your application.

Step 2: Complete the screening questions.

Step 3: Participate in a 30-minute AI interview.

Step 4: Hiring manager review.

Step 5: Final selection and onboarding.

 

Regional Hiring Information:

 

This role is being hired across multiple regions to support operational coverage, compliance requirements, and time-zone alignment. While responsibilities remain consistent globally, employment terms may vary based on your location.

 
Why Join Us?

 

If you're passionate about data operations, workflow optimization, and solving complex business challenges, this is an exciting opportunity to contribute your expertise to innovative AI projects. You'll work on impactful initiatives while collaborating with talented professionals in a flexible, fully remote environment.

 

Apply Now:

 

Ready to use your cloud architecture and platform engineering expertise to help shape the future of AI?

 

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