Associate II, ML Data Operations, GO-AI Operations

Technology, Data & Digital · Data, AI & Analytics · Data Science · Artificial Intelligence · Data Analysis

In short

As an Associate II, ML Data Operations at Amazon Robotics in Chennai, India, you will be a crucial Human-in-the-Loop expert responsible for executing data annotation tasks to train machine learning models. This contractual role involves analyzing processes within fulfillment environments, ensuring data quality, and requires strong attention to detail and judgment.

Responsibilities

Execute data annotation tasks across diverse portfolios, including text, video, and image data.
Analyze processes such as packaging innovation, object manipulation, inventory storage, and sortation automation.
Perform precise annotations like object detection, semantic segmentation, and object tracking.
Write grammatically correct and technical texts adhering to complex project guidelines.
Make strong judgments to address ambiguous situations and propose solutions for process improvement.
Quickly learn and 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.
Enhance productivity and effectiveness of data generation through improved methodologies and checklists.
Undertake foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data.

Requirements

Bachelor’s degree in any discipline.
0.6 - 5 years of experience working with 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 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 environment with remote, multi-cultural teams.
Good communication skills with the ability to articulate complex ideas.
Experience in natural language data labeling, data annotation, linguistic annotation, or other forms of data markup.
Proficiency with computer skills, including MS Office (Word, Excel, PowerPoint).

Desired Qualifications

Speak, write, and read fluently in English.

Benefits

Opportunity to transition into a full-time position based on performance and business requirements.
Night shift allowance will be provided if working in a night shift.
Rotational two-consecutive days off per week.
Structured one-week training program.

Skills

MS OfficeExcelPowerPointWord

#machine learning#data annotation#AI#robotics#LLM

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