Associate II, ML Data Operations, GO-AI Operations
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis · Machine Learning
In short
Amazon Robotics seeks an Associate II, ML Data Operations in Hyderabad to perform data annotation for machine learning models. This contractual role involves analyzing fulfillment processes and ensuring data integrity for AI improvements, with a potential to transition to full-time. Requires a Bachelor's degree and experience in data transcription and annotation.
Responsibilities
- Deliver high-quality training data to improve Large Language Model (LLM) capabilities.
- Perform precise annotation tasks including object detection, semantic segmentation, object tracking, and open-text evaluation.
- Proactively identify and correct errors to ensure high data integrity.
- Write grammatically correct, creative, and technical texts adhering to complex guidelines.
- Make strong judgments to address ambiguous situations or incomplete information and propose solutions.
- Quickly learn and efficiently utilize specialized annotation tools and platforms.
- Scale and transition between 2-3 programs based on business needs.
- Train associates and provide peer feedback.
- Validate data based on specific annotation guidelines.
- Contribute to the development of audit methodologies, checklists, and test frameworks.
Requirements
- Bachelor’s degree in any discipline with 0.6 - 5 years of experience in data transcription and annotation.
- English proficiency (C1+ or > C1 fluency) with good business writing skills.
- Proficiency in generating high-quality human insight data across text, image, video, and audio modalities.
- Specialization in LLM annotation work using Amazon internal generative AI tools.
- Proficient research skills with experience to write basic prompts and synthesize information.
- Excellent organizational and time management skills.
- Comfortable working in a collaborative, remote, multi-cultural environment.
- Good communication skills.
- Experience in natural language data labeling, data annotation, linguistic annotation, or other forms of data markup.
- Proficiency in computer skills, including MS Office (Word, Excel, PowerPoint).
Desired Qualifications
- Ability to transition immediately between projects as per business requirements.
- Proactively identify day-to-day operational friction and bottlenecks and propose solutions.
- Ability to maintain individual productivity goals.
- Willing to share knowledge.
- Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.
- Fluency in speaking, writing, and reading English.
- Experience working with data transcription and annotation.
Benefits
- Opportunity to transition into a full-time position based on performance and business requirements.
- Night shift allowance will be provided as per applicable to Amazon’s work policy (if applicable).
- Structured one-week training program.
#machine learning#data operations#data annotation#LLM