Associate II, ML Data Operations, GO-AI Operations

Amazon Inc.; Chennai District; On-site; INR 300,000 - 600,000; Full time

Job summary

Amazon Robotics, GO-AI Operations in Hyderabad is seeking an Associate II, ML Data Operations to perform foundational labeling across dialogue, speech, text, image and video data. You will learn annotation methods and apply them to real-world robotic data pipelines.

This 24x7 role involves collaborating with a diverse team, maintaining high data quality, and adapting to rotating shifts. Training is provided and night shift allowances apply under Amazon policy.

Qualifications

• Bachelor’s degree holder with 0.6–5 years in data transcription/annotation.
• Fluent English with strong business writing.
• Experience generating high-quality insight data across modalities.

Responsibilities

• Annotate data across image, video, and text with precision and consistency.
• Identify errors and maintain data integrity for model training.
• Write clear grammatically correct prompts and texts per guidelines.
• Learn and use annotation tools and adapt to new methods.
• Support night shifts with applicable allowances.

Skills

Data annotation

English proficiency

Communication

Time management

Education

Bachelor's degree in any discipline

Tools

MS Office

Job description

Associate II, ML Data Operations, GO-AI Operations

Amazon Robotics develops state-of-the art robotics for Amazon’s Fulfillment Centers. Come build the future of human-technology interaction with us. We are combining computer vision, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of movement to solve real-world problems on a huge scale. Our team collaborates with a variety of customers across Amazon worldwide to conceive, develop, prototype, and deploy a wide range of robotic systems. Within Amazon Robotics, Global Operations - Artificial Intelligence (GO-AI) enables Amazon to accelerate and scale our machine learning transformation via human-in-the-loop support.

Basic qualifications

• Bachelor’s degree in any discipline with 0.6 - 5 years of experience working with data transcription and annotation.
• English proficiency (C1+ or > C1 fluency) with good business writing skills.
• Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
• Specializing in LLM annotation work using amazon internal generative AI tools.
• Proficient research skills with experience to write basic prompts to gather and synthesizing information from multiple sources.
• Excellent organizational and time management skills to prioritize complex tasks effectively.
• Comfortable working in a collaborative environment with remote, multi-cultural teams, willing to share knowledge, and able to maintain individual productivity goals.
• Good communication skills with the ability to articulate complex ideas and provide clear explanations.
• Work in a flexible schedule/shift/work area, including weekends, nights, and/or holidays.

Key job responsibilities

• Perform precise and consistent annotations across multiple data types (image, video, and text). This includes mastering techniques like object detection, semantic segmentation (pixel-level labeling), object tracking in video, and open-text evaluation.
• Proactively identify and correct errors, ensuring high data integrity and making obsessive precision crucial for model training.
• Write grammatically correct, creative, and technical texts in various styles, strictly adhering to complex project guidelines.
• Make strong judgment to address ambiguous situations or incomplete information and, when guidelines fail, propose logical, consistent solutions that contribute to process improvement.
• Quickly learn and efficiently utilize various specialized annotation tools and platforms, adapting to new methodologies as required by evolving programs in domains like packaging, manipulation, storage, and sortation automation.
• Ability to scale and transition between 2-3 programs based on business needs and ability to train associates and provide peer feedback.
• Validate data based on specific annotation guidelines, ensuring the accuracy and quality of the collected information.
• You will strive to enhance the productivity and effectiveness of the data generation by contributing to the development and continuous improvement of audit methodologies, checklists, and test frameworks.
• In case an associate is working in night shift, night shift allowance will be provided as per applicable to Amazon’s work policy.

A day in the life

We are looking for an Associate II, ML Data Operations to undertake the task of foundational labelling functions, such as dialogue evaluation on speech, text, audio, and video data – Success in this role requires strong concentration, effective multitasking with familiarity to write basic prompts, dive deep into use case and interpret and implement solutions. associate will be collaborating with a diverse team of specialists, sharing insights on “edge cases” where the data is ambiguous. Associates II work in a 24x7 environment with rotational shifts. Associates II would be working from HYD office with a 9-hour shift. The shift and break timings would be subject to change every 3-4 months or as per business requirement. In case an associate is working in night shift, night shift allowance will be provided as per applicable to Amazon’s work policy.

Weekly Offs:

Rotational two-consecutive days off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

Training Program:

Selected candidates will participate in a structured one-week training program to develop essential capabilities and to ensure operational readiness prior to deployment.

Weekly Offs:

Rotational two-consecutive day off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and Sunday) or as per business discretion.

Preferred Qualifications

• Speak, write, and read fluently in English.

Basic Qualifications

• Experience in natural language data labeling, data annotation, linguistic annotation or other forms of data markup
• Experience with computer skills, including proficiency in MS Office (Word, Excel, PowerPoint)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.