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Data Annotation Specialist
3-4 years
Bangalore / Bengaluru, Hyderabad / Secunderabad
1 vacancy
Data Annotation Specialist
UpSmart Solutions
posted 2mon ago
Job Role Insights
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Job Description
- LLM Output Testing & Rating:
Evaluate whether LLMs (e.g., Gemini) are performing accurately in specific applications. Provide quality ratings (e.g., 7 out of 10) based on criteria like relevance, correctness, and context appropriateness.
- Text, Image & Video Annotation:
Perform data annotation on various media formats, including text, images, and videos. Tasks include labeling, annotating, and structuring data for machine learning models.
- Image & Video Labeling:
Label and annotate video and image data, applying bounding boxes, polygons, and key points to identify objects or regions of interest within datasets for AI training purposes.
- 3D Lidar Annotation:
Annotate and label 3D lidar data, using tools like bounding boxes and polygons to identify objects in 3D space, enabling accurate perception for machine learning models.
- Content Review & Cultural Relevance:
Review and rate LLM-generated outputs, annotating content for cultural fit, regional context, and overall relevance. Ensure model outputs align with the expected standards for the target audience.
- ML Code & Data Source Review:
Assist technical teams in reviewing where data originates, helping identify potential issues with the code, data, or prompt structure, and ensuring the overall quality of inputs.
- Pilot & Testing Projects:
Participate in testing and rating pilot projects to evaluate new or updated AI models before they go into full production. Provide detailed reports and suggest improvements.
- Operational Support:
Support operational tasks including content rating, data labeling, and assisting in the feedback loop to continuously improve model performance based on real-world scenarios.
- Analytical Skills:
Strong analytical thinking with the ability to assess and provide detailed feedback on AI outputs and annotation tasks.
- Data Annotation Expertise:
Proficiency in text, image, and video annotation, including experience with bounding boxes, polygons, 3D lidar annotation, and other data labeling techniques for training machine learning models.
- Cultural Sensitivity & Context Awareness:
High attention to detail when annotating content for cultural and contextual relevance, ensuring the output aligns with regional and cultural expectations.
- Basic AI/ML Knowledge:
Foundational understanding of machine learning models, LLMs, and data annotation processes. Familiarity with annotation tools for 2D and 3D data formats.
- Experience in data annotation or a similar role working with LLMs, image, and video data.
- Hands-on experience with 3D lidar annotation and complex labeling tasks.
- Experience in working with google Crowdsource / Amazon Sagemaker
- Familiarity with AI/ML operations, including code and data review processes.
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence
Read full job descriptionCompare UpSmart Solutions with
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