Amazon Hiring Event | Any Degree | Freshers | Multiple Positions | Apply Now
Amazon has to recruit candidates for Associate, ML Data Operations, GO-AI Operations, Business Analyst position through off campus in Work From Home, either of office. The candidates who are Finished in Any Degree are eligible to apply for this position. Applications are invited from eligible applicants. Therefore, those who are eligible and interested should apply online.
Amazon Recruitment Details :
Job Role : Multiple Position
Qualification : Any Degree
Total Vacancy : Various
Experience : Freshers
Job Location : Work From Home OR Office
Salary : 6 LPA
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 in rotational shifts (including night shifts), remote teams and exceptionally good team player
- Readiness to come to office for few days (when required, applicable for associates working from home)
- Willing to switch ON laptop camera while on virtual meetings.
Preferred Skills:
- Proficient in MS Excel and other MS Office tools.
- Statistical knowledge on averages, trends, outliers, charting, etc. would be an advantage.
- Experience/ Knowledge of SQL and Macros, but not mandatory.
- Work experience in online retail operations or similar fields is a plus.
A day in the life
Associates work in 24x7 environment with rotational shifts. Associates would be working in a 9 hour shift, including pre-scheduled breaks. The shift timings would be subject to change every 3-4 months or as per business requirement. In case associate is working in night shift, night shift allowance will be provided as per applicable Amazon’s work policy.
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.
ML Data Associate
AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.
We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on!
Key job responsibilities
- Maintain and follow strict confidentiality as customer privacy is our most important tenet
- Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video
- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.
- Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio.
- Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.
- Eye for detail and ability to pivot from one category of requirement to another instantaneously.
- Demonstrate support on daily operational deliverables for multiple task types assigned to you and the team
- Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.
- Responsible for identifying day-to-day process and operational issues in Standard Operating Procedure, tools and suggest changes to unblock operations
- Demonstrate ownership in floor support to clarify internal queries during execution on need basis
Basic Qualifications
- An Associate’s Degree or related work experience
- Strong business writing skills with ability to create reports, proposals, and professional correspondence
- Advanced reading comprehension with ability to analyze complex business documents
- Developed analytical thinking and structured problem-solving capabilities
- Strong ability to interpret and implement detailed instructions across various projects
- Proficient research skills with experience gathering and synthesizing information from multiple sources
- Proven attention to detail in managing complex tasks and documents
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.
Preferred Qualifications
- Bachelor’s degree in a relevant field May vary in other locations like India
- C1+ or equivalent fluency in English language
- 2+ years of professional work experience with demonstrated task execution ability
- Proven capacity to leverage open-source resources effectively for comprehensive research purposes
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- 1+ years project coordination or management experience (for support functions teams)
- Experience managing stakeholder relationships across departments
- Advanced proficiency in Microsoft Office Suite and common business applications.
- Interfacing with business customers, gathering requirements and developing complex analytics model and data-sets for deep dive
- Identifying the data quality issues across the various platforms at Amazon
- Extracting and combining data from various heterogeneous data sources
- Design and build data visualization tools to provide scalable solution for self-service metrics reporting
- Partnering with other analysts and engineers to build analytical solutions to deliver on business goals
- Propose and implement new business metrics for senior management reviews and work with the business intelligence engineer to design and develop data infrastructure to support these metrics for business growth
- 3+ years of tax, finance or a related analytical field experience
- Bachelor's degree or equivalent
- Experience with SQL
- Experience defining requirements and using data and metrics to draw business insights
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
- Experience with AWS services including S3, Redshift, EMR and RDS
- Knowledge of a scripting language (Python, R, etc.)
How to Apply Amazon Recruitment Drive ?
All interested and Eligible candidates can apply this drive by the following link.
Associate, ML Data Operations, GO-AI Operations : Click Here
Business Analyst : Click Here
ML Data Associate : Click Here
Quality Specialist, AGI Data Services : Click Here
To Apply Software Development Engineer : Click Here
Official Website : Click Here
Subscribe Here (Check Your Email To Activate Confirmation Link).
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