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Associate, ML Data Operations

Location

India

Posted

7 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Associate, ML Data Operations

Amazon

Role Description As an Associate, ML Data Operations, you will be a vital Human-in-the-Loop expert in a non-technical role, responsible for executing data annotation tasks across highly diverse portfolios. Your work directly supports the training and validation of machine learning models for Amazon Robotics and Fulfillment Technologies, ensuring the quality and integrity of data which is critical for frontier AI improvements. Your work will involve analyzing processes such as packaging innovation, object manipulation, inventory storage, and sortation automation within fulfillment environments. - This is a non-technical, operational role that requires adhering to process-oriented, not programming skills. - The Associate will perform precise annotation tasks, adhering to goals for accuracy (quality) and speed (productivity). - Perform precise and consistent annotations across multiple data types (image, video, and text), mastering techniques like: - Object detection - Semantic segmentation (pixel-level labeling) - Object tracking in video - Open-text evaluation - Proactively identify and correct errors, ensuring high data integrity and making obsessive precision crucial for model training. - Leverage strong judgment to address ambiguous situations and 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. - Ability to scale and transition between multiple programs based on business needs. - This is a contract position with the potential to transition to a full-time employee role based on business needs. Qualifications - Bachelor's degree - Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in Database like NoSQL - Comfortable working in a collaborative environment with remote, multi-cultural teams, willing to share knowledge, and able to maintain individual productivity goals. - Show willingness to quickly adapt to new annotation methodologies and learn to use various specialized annotation tools. - Good communication skills with the ability to articulate complex ideas and provide clear explanations. - Work in a flexible schedule/shift/work area. Requirements - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays. - Experience developing and evaluating data annotation and data quality metrics. Benefits - Associates work in a 24x7 environment with rotational shifts. - Associates would be working from home (VCC) with a 9-hour shift and with adequate network coverage. - 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.

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