AI Multimedia Generation Product Evaluator

Overview

Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 month(s)

Skills

SQL
python
AI
Halo
video
GenAI

Job Details

BuzzClan is an elite business consulting firm collaborating to provide software, advisory & implementation services. BuzzClan is a certified partner for most of the tier 1 cloud, hardware & software providers. Being a vertically integrated solutions company, BuzzClan is known for their capability in the IT Services space.
Job Title: AI Multimedia Generation Product Evaluator
Job Location - Remote in USA
Job Tenure - 12 months
Job Description:
We are seeking a highly motivated and detail-oriented individual to join our team as an AI Multimedia Generation Product Evaluator. In this role, you will support the evaluation of various AI multimedia generation products for images and videos. You will work closely with model development teams to conduct offline evaluations, connect offline metrics with online user behavior, and ensure offline metrics are predictive of online user engagement.

Responsibilities:
Set up Halo tasks and run model inference
Enqueue new queues to Halo
Audit annotations from vendors
Build necessary tooling for managing evaluation datasets
Collaborate with model development teams to conduct offline evaluations and automate pipelines
Facilitate, set up queues, manage image radio data, and audit results
Ensure consistency and accuracy in measurements, involving programming and auditing tasks

Requirements:
2 years of basic Python knowledge, particularly in working with image/video data and JSON
Experience in SQL and handling large data tables
Experience in the image and video domain
Ability to adapt to new code
General know-how
Flexibility in working hours
Nice-to-Have Skills:
Experience as a GenAI user in the image and video domain
Basic shell script knowledge

Degrees/Certifications - Bachelor's preferred, not required

Day-to-Day Responsibilities:
Collaborate with model development teams to conduct offline evaluations, connect offline metrics with online user behavior, and ensure offline metrics are predictive of online user engagement. Main tasks include facilitating, setting up queues, managing image radio data, and auditing results
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