AmazonML Data Associate, AGIDS-IVA, AGIDS-IVA
Amazon is hiring an ML Data Associate, AGIDS-IVA, AGIDS-IVA in Chennai, United States. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Microsoft Office, data entry and research.
- Level classifies it as a junior role.
- Level lists 22,000+ other open roles at Amazon.
- The role was posted in the last few days.
AI in this role
Collect ground truth data and perform data capture tasks to support machine learning product development.
• Perform execution and report results accurately.
• Understand procedures and guidelines for new tasks / releases
• Perform repetitive exercises based on the dynamic instructions without compromising on quality
• Use software tools for data capture and comply with the processes of the organization on a daily basis
• Be comfortable with capturing results, communicating and escalating failures and providing individual status reports and adhering to Productivity and Quality base lines.
• Raising all failures/doubts related to the execution in the portal and closing the same as per the SLA’s
• Own the daily targets against internal and external dependencies.
Basic qualifications
- Knowledge of Microsoft Office products and applications
- • Education qualification (High School or equivalent diploma * May vary in other locations like India)
- • C1+ or equivalent fluency in English language (Specify by location and locale)
- • Basic writing skills with ability to compose clear emails and simple business documents
- • Good reading comprehension and active listening abilities
- • Basic problem-solving and analytical thinking skills
- • Ability to follow multi-step instructions accurately
- • Basic research capabilities using common search tools
- • Detail-oriented with good organizational skills
- • Strong attention to detail
- • Professional communication manner when interacting with others
- • Proficiency in Microsoft Office (Word, Excel basics, PowerPoint)
Preferred qualifications
- • Experience with basic data entry and documentation
- • Familiarity with common business software
- • 2+ years of previous internship or relevant work experience
- • Basic understanding of business operations
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.
How we rate this
ML Data Associate, AGIDS-IVA, AGIDS-IVA at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data entry was part of your work. What did you do?
- Tell me about a project where research was part of your work. What did you do?
- Tell me about a project where communication was part of your work. What did you do?
- What's a project where you used Microsoft Office hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Entry, Research, Communication, and Microsoft Office. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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