ADCI

Machine Learning Science, Machine Learning Data Operatio, amazon business

Associate,MLDataOperations,GO-AIOperations

₹7–10L ~AI est. Uttar Pradesh, India FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Entry candidates.

The Brief

“Associate, ML Data Operations, GO-AI Operations at ADCI. Skills: Data auditing, Quality control, Productivity targets. Watch video of stowing action. Understand stowing action thoroughly”

What You'll Achieve.

Aid defect reduction; Maintain fulfillment center's stow quality; Maintain stow quality at fulfillment center

Industry & Context.

Machine Learning Science, Machine Learning Data Operatio, amazon business
Eligibility Requirements

Maintain dedicated workspace, Rotational shifts, Night shifts, Switch ON laptop camera

What They're Looking For.

Must Have

Ability to audit image/video/text based Jobs, Ability to identify details from blurry, less sharp videos, Requires high level of attention & focus on screen, Willingness to work in Non-tech role for contract duration of 6 months, Willingness to work on incremental targets/goals on quality & productivity, Fast Pace of implementation & consistent performance, Ability to work in rotational shifts, Ability to work with remote teams, Readiness to come to office for few days, Willing to switch ON laptop camera while on virtual meetings

Nice to Have

Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays

What You'll Do.

Watch video of stowing action

Understand stowing action thoroughly

Make best use of human judgement

Indicate activity captured in video

Verify or mark product location

Maintain highest level of accuracy

Perform precise and thorough video/image audits

Provide responses by following goals on accuracy

Provide responses by following goals on speed

Provide responses by following goals on practices

Take breaks at pre-defined slots

Spend 6.8 to 7 hours per day answering

How You'll Work.

Team & Collaboration

Remote teams; Rotational shifts

Full Job Description

This team enables automation at Amazon Robotics Fulfillment centers. This team serves Amazon Internal Fulfillment Technologies & Robotics teams by enabling automation, which includes real-time & offline (image/video) data auditing services. One of the key contributions of this team is supporting the fulfillment centers in maintaining inventory accuracy. An Associate in this role is required to watch the video of the stowing action at a fulfillment center, understand it thoroughly and make best use of human judgement in combination with the tools and resources to indicate the activity captured in the video. They are expected to verify or mark the location of product through a tool while maintaining highest level of accuracy. This process helps in maintaining the fulfillment center's stow quality. This is an operational role. Under general supervision, the Associate performs precise and thorough video/image audits with high degree of accuracy and speed, thus aiding defect reduction. Key job responsibilities The Associate has to watch several hundred videos in a shift and provide responses by following goals on accuracy (quality), speed (productivity) and right / acceptable practices. Associates are required to take breaks at the pre-defined slots and ensure 6.8 to 7 hours’ time per day is spent to answer the videos. Associates who are hired to work from home should maintain (1) dedicated workspace i.e., table, chair & sufficient lighting (2) workspace / work related data shouldn’t be accessed by anyone other than employee The candidate is expected to demonstrate: • Willingness to work in Non-tech role for contract duration of 6 months • Ability to audit image/video/text based Jobs • Ability to identify details from blurry, less sharp videos and provide correct response. Requires high level of attention & focus on screen • Willingness to work on incremental targets/goals on quality & productivity • Fast Pace of implementation & consistent performance • Ability to work

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