Amazon.composted 17 days ago
$40,400 - $86,500/Yr
Full-time - Mid Level
Virtual Location - Washington, WA
General Merchandise Retailers

About the position

The Customer Engagement Technology (CET) organization powers customer service by developing elegant customer and CS Associate (CSA) facing products globally. These products offer effortless self-service and automation solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers' issues using our associate-facing products powered through human-centered design. We are seeking a ML (Machine Learning) Quality Process Lead, who are fluent in Portuguese and English, to join the Omni Machine Learning Data Associate (MLDA) team within CET to help manage quality management processes to analyze, improve annotation, testing, and contact reading accuracy to support new feature and product launches for Customer Service Large Language Models (LLMs).

Responsibilities

  • Review annotations by paying close attention to details, making necessary adjustments to ensure high-quality data that supports ongoing model improvement.
  • Perform root cause analysis using basic data analysis in Excel and SageMaker (annotation tool) on annotations to identify opportunities for improving data accuracy.
  • Provide support for ML model training data annotations, assisting annotators in maintaining high-quality work by enforcing best practices.
  • Improve Standard Operating Procedures (SOPs) by sharing findings from reviews or deep dives, ensuring a consistent standard of excellence across the team.
  • Review LLM testing results provided by testers, paying close attention to details, to ensure their accuracy and identify areas for improvement.
  • Carefully monitor the accuracy of multiple annotation projects and proactively communicate any blockers or potential delays in the completion of quality checks.

Requirements

  • Language fluency in Portuguese (Native-level) and English.
  • Experience in creating and managing ML annotation processes, testing models, and quality assurance methodologies.
  • Analytical and problem-solving skills to identify patterns, inconsistencies, and areas for improvement.
  • Ability to thoroughly investigate and identify misalignment between annotations and SOPs, as well as the root causes of inaccuracies.
  • Strong ownership and accountability to meet SLAs, and proactive communication regarding blockers, and proposed solutions.
  • Ability to collaborate closely with cross-functional teams, understand project/stakeholder requirements, and align annotation efforts and model testing accordingly.

Nice-to-haves

  • Bachelor's Degree
  • Experience in annotation
  • Familiarity in using Excel
  • Experience with project management and stakeholder management

Benefits

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan
Hard Skills
Machine Learning
2
Annotation Processing
1
Cross-Functional Collaboration
1
Language Model
1
Standard Operating Procedure
1
4cCm5aBhzZlb oMO59nzNDuU
0
7Q3WoXDkP d82W5QbcOjP
0
8IfyH 9GIpLs SYbls2mDj
0
AjdHLhrR mG45s0M6lTrX
0
DdYfE iuVUl2rN8LtG
0
H1pOA74im eHqyuvYU
0
K3nmwI0Dl8z6 tkW2fyQwaloLF
0
Mx2JQpd8FCL7 es4OTIBpjqUK
0
MxqRk 3u59j6D
0
OlN3IJbve 03RxdsLhz
0
RGl9iuaV OaxTJDNZc
0
U5eyq Mtv8qp2Xz
0
VXM5B 8CfHnS1x
0
cn3k2dDpi M0Z4DSdF
0
d0jN6X7J 7TtGImBEXo
0
f9agkxINPMls1Jw 1BTq2vV
0
gVN9C1Mr YvXJs0zGS1h
0
v4j0mbVBZw 5pTA wb5aNlAHTh
0
ywgBf XgdGSiVeN
0
Soft Skills
KupfXlJ7 FXwI80V4
0
oOuRd 7Pih4ZlEVXK
0
Build your resume with AI

A Smarter and Faster Way to Build Your Resume

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service