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Products
AI JOB AD
Create compelling job ads in seconds with AI-powered assistance.
AI JOB FOLDER
Automate your candidate screening and folder management.
CAREER PAGE
Build your personalized career page with strong company branding to attract candidates and manage your job vacancy.
AJOBTHING REVIEW
Explore what employers love about AJobThing recruitment platform for fast & successful hiring
AJOBTHING CARE
Get dedicated after-sales support, hiring guidance, and personalized assistance to ensure your recruitment success.
PARTNERSHIP
Collaborate with us to achieve mutual success and reach a wider audience.
Data Annotator Job Description
A Data Annotator is responsible for labeling and categorizing data to make it usable for machine learning models. They ensure that datasets are accurate and reliable to improve the performance of AI algorithms.
Use this Data Annotator job description template to find candidates who can accurately label data for AI projects. Customize it according to your project's specific requirements.
Data Annotator Responsibilities Include:
- Annotate and label data accurately
- Follow data labeling guidelines and instructions
- Collaborate with team members to ensure data quality
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Job Brief
We are searching for detail-oriented Data Annotators to join our team. In this role, you will work with large datasets, providing the necessary annotations that help machine learning models learn effectively. You will follow established guidelines to ensure consistency and quality in your work.
Your responsibilities will include reviewing data samples, identifying relevant features, and collaborating with data scientists to clarify requirements. We are looking for individuals who are methodical and have a keen eye for detail.
The ideal candidate should be comfortable working independently and possess good organizational skills. If you are eager to contribute to machine learning projects and have a passion for data, we encourage you to apply.
Responsibilities
- Annotate and label data accurately
- Follow data labeling guidelines and instructions
- Collaborate with team members to ensure data quality
- Participate in training sessions to improve annotation skills
- Communicate effectively with project managers and stakeholders
- Meet project deadlines and quality standards
- Provide feedback on annotation tools and processes
- Maintain confidentiality and security of data
- Identify and report any issues or discrepancies in the data
- Contribute to continuous improvement of data annotation processes
Requirement
- Bachelor's degree in Computer Science or related field
- Strong attention to detail
- Ability to work independently and in a team
- Excellent communication skills
- Previous experience in data annotation is a plus
- Proficiency in using annotation tools
- Familiarity with data labeling guidelines
- Knowledge of machine learning concepts
- Ability to meet deadlines
- Strong problem-solving skills
Skills
- Data annotation tools (e.g. Labelbox, Supervisely)
- Machine learning concepts (e.g. supervised learning, classification)
- Data labeling guidelines (e.g. COCO, Pascal VOC)
- Data management and organization
- Attention to detail and accuracy
- Problem-solving skills
- Communication skills (verbal and written)
- Teamwork and collaboration
- Time management and prioritization
- Adaptability and flexibility