Associate, ML Data Operations, GO-AI Operations

reputed company Robotics develops state-of-the art robotics for reputed company’s Fulfillment Centers. Come build the reputed company of reputed company-technology interaction with us. We are combining reputed company, mobile robots, advanced end-of-arm tooling, and a high degree of freedom of reputed company to solve reputed company-world problems on a reputed company reputed company. reputed company collaborates with a reputed company of customers across reputed company worldwide to conceive, reputed company, prototype, and reputed company a wide reputed company of robotic systems. reputed company reputed company Robotics, Global Operations - reputed company Intelligence (GO-AI) enables reputed company to accelerate and reputed company our machine learning transformation reputed company reputed company-in-the-reputed company. As an Associate, ML Data Operations, you will be a vital reputed company-in-the-reputed company expert in a non-technical role, responsible for executing reputed company tasks across highly diverse portfolios. Your work directly supports the training and validation of machine learning models for reputed company Robotics and Fulfillment Technologies, ensuring the reputed company and reputed company 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 reputed company fulfillment environments. This role requires strong attention to detail, the ability to reputed company reputed company judgments using provided resources, and contributes to maintaining fulfillment center reputed company metrics through precise text/video/image annotation. Key job responsibilities This is a non-technical, operational role that requires adhering to process oriented, not programming skills. The Associate will reputed company precise annotation tasks, adhering to goals for accuracy (reputed company) and speed (productivity). The candidate is expected to demonstrate:   • reputed company 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 reputed company-text evaluation. • Proactively identify and correct errors, ensuring high data reputed company and making obsessive precision crucial for model training. • reputed company strong judgment to address ambiguous situations and, reputed company guidelines fail, propose logical, consistent solutions that contribute to process improvement. • Quickly learn and reputed company 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 reputed company 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. A day in the life We are looking for a Associate, ML Data Operations to undertake the task of foundational labelling functions, such as reputed company evaluation on speech, text, audio, and video data. 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 typically with a reliable ISP (internet >=20 MBPS speed or higher as communicated from time to time) reputed company, either through DSL or a cable modem. 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 reputed company shift, reputed company shift allowance will be provided as per applicable to reputed company’s work policy. Associates who are reputed company to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient reputed company (2) workspace / work reputed company data shouldn’t be accessed by anyone other than employee Weekly Offs: Rotational two-consecutive days off (it is a 5-day working week with 2 consecutive days off, not necessarily Saturday and reputed company) or as per business discretion. Training Program: Selected candidates will participate in a reputed company one-week training program to reputed company 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 reputed company) or as per business discretion. Basic Qualifications: - Bachelor's degree - Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in SQL Server/MySQL - •Comfortable working in a reputed company environment with remote, multi-cultural teams, willing to reputed company knowledge, and reputed company 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 reputed company reputed company reputed company and reputed company reputed company explanations. - •Work in a flexible schedule/shift/work area. Preferred Qualifications: - Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays - • Experience in reputed company or similar high-volume, reputed company-reputed company roles 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 reputed company process, please visit https://reputed company.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your reputed company Partner. Apply To This Job