Trainee Process Associate

2 days ago


Mysuru Karnataka, India Prudent Partners LLP Full time

**About the Role**:
An Annotator is responsible for accurately tagging, labeling, and annotating various types of data, including images, videos, audio clips, 2D objects and more. This role involves analyzing and interpreting content to enhance machine learning models, ensuring precision and relevance in annotations. It requires a keen eye for detail, an understanding of the specific requirements of AI and ML projects, and the ability to work consistently with various digital files. This role is crucial for improving the accuracy of AI systems in recognizing and interpreting multimedia data.

**Key Responsibilities**:

- Data Annotation: Accurately labeling and annotating images, videos, audio files, and 2D graphics to train and improve machine learning models.
- Quality Control: Ensuring high-quality and error-free annotations, and verifying the accuracy of data labels.
- Data Classification: Categorizing and classifying data based on specific criteria relevant to AI and ML projects.
- Collaboration: Working closely with data scientists and AI teams to understand project requirements and deliver data in the required format.
- Project Documentation: Maintaining detailed records of annotated data and contributing to project documentation to track progress and methodologies used.

**Required Skills & Experience**:

- Detail Orientation
- Technical Skills
- Analytical Ability
- Communication
- Adaptability and Learning.

**Preferred Qualifications**:

- Basic educational background Intermediate/2nd PUC/Diploma holders
- Familiarity with annotation tools and software.
- Experience with data classification or related field.
- Good computer and internet skills.
- Ability to work efficiently in a team and independently.

**Job Types**: Full-time, Permanent, Fresher

Pay: ₹108,000.00 - ₹150,000.00 per year

**Benefits**:

- Health insurance
- Provident Fund

Schedule:

- Day shift

Supplemental Pay:

- Performance bonus

**Experience**:

- total work: 1 year (preferred)

Work Location: In person

Expected Start Date: 14/10/2024



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