Overview
Skills
Job Details
Contributing to ML hand pose and gesture quality improvements; Data collection and manual annotation; Defining data collection requirements and producing moderator / participants instructions; Data quality review, quality assurance, manual annotations, feedback to participants and moderators; Run machine learning training and evaluation jobs; Experimenting model improvements and failure analysis, visualization; Hands on experiential testing model (gesture) quality and providing feedback/assessment/reports; At-home or in-office data collection and annotation.
Qualifications
5+ years experience in machine learning operations, data analysis and visualization in python, data processing libraries in python (e.g., pandas), python programming skill and comfortable working with complex systems.
Top 3 must-have HARD skills:
Ability to fix data quality issues, manually or semi-automatically.
Statistics / Data Analysis, aggregate, summarize the result and highlight the gaps
Python coding: pandas, visualization libraries
Good to have skills:
Machine Learning / Deep Learning knowledge.
Ability to translate data requirements into descriptions that others can follow. Word, Picture, Videos
Ability to operate existing machine learning flows (data preparation, training, evaluation, failure analyses).
Strong technical written and verbal communication skills.
Familiarity with Linux operating systems and commands.
Self-learning capabilities
Years of experience needed: at least 5