• Job Description

  Req#: RtPq2ds2SqrV
  Employer Industry: Data Annotation and Machine Learning
  
  Why consider this job opportunity:
  - Part-time position offering flexibility with fully remote work in the U.S.
  - Opportunity to work with a large enterprise client in the data annotation field
  - Engaging role that allows you to utilize and develop critical thinking and communication skills
  - Potential for career growth and skill enhancement in the evolving field of AI and data labeling
  - Inclusive work environment that values diversity and supports employee needs
  
  What to Expect (Job Responsibilities):
  - Evaluate and label images, search queries, and other forms of data for a prominent client
  - Apply guidelines uniformly across large datasets to ensure consistency and accuracy
  - Report edge cases or unclear instructions to team leads or developers
  - Meet productivity targets while maintaining high-quality standards
  - Adapt to evolving guidelines and update work practices accordingly
  
  What is Required (Qualifications):
  - Bachelor's degree or higher in a humanities specialization
  - Strong attention to detail to identify and label subtle patterns or elements
  - Basic technical literacy and comfort using annotation tools and understanding data formats
  - Excellent critical thinking skills for resolving ambiguous cases based on annotation rules
  - Effective time management skills to achieve productivity targets without compromising quality
  
  How to Stand Out (Preferred Qualifications):
  - Familiarity with annotation tools such as Labelbox, CVAT, Prodigy, or Amazon SageMaker Ground Truth
  - Basic understanding of machine learning concepts and their impact on model training and evaluation
  - Experience in quality assurance (QA) or validating annotations done by others
  - Proficiency with team collaboration tools like Jira, Slack, or Trello for task tracking and communication
  - A proactive problem-solving mindset to identify annotation issues or propose workflow improvements
  
  #DataAnnotation #MachineLearning #RemoteWork #CareerGrowth #DiversityAndInclusion
  
  We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately.
  We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.

• About the company

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