Consultant - Data Annotator (30 - 35 hours per week)
Palo AltoOn-site
AI Summary
Produces high-quality annotations to train NLP algorithms, working closely with data scientists on datasets for model training and benchmarking.
About this role
Job Description:
- Will produce consistently high-quality annotations in a variety of ways to help train NLP algorithms.
- Will be working closely with data scientists to produce data-sets for model training, bench-marking, and general development
Required Qualifications:
- Excellent verbal and written comprehension and communication skills with an eye for detail
- Great problem-solving skills and strong work ethic
- Great reading comprehension and ability to make independent judgement with limited information
- Goal-oriented
Preferred Qualifications:
- Prior annotation experience
- Technical expertise
- Prior experience with IT Service Management, virtual agents, or NLP
- Experience in dealing with Taxonomies and Ontologies
- Linguistic Background
Skills
Data AnnotationData Set CreationIT Service ManagementModel TrainingNLPOntologiesTaxonomiesVirtual Agents
Explore related jobs
Similar Data Annotation jobs
Jobs in Palo Alto
Forward Deployed Product ManagerBolo AI · Palo Alto, CA or Houston- SSenior Accountant - IntercompanyStanford Medicine Children's Health · PALO ALTO, CA
- Family Medicine Physician - Sign-On Bonus AvailableOne Medical · Palo Alto, California
- SHousekeeping AssistantStanford Medicine Children's Health · PALO ALTO, CA
Software Engineer, Data PlatformMind Robotics · Palo Alto
Senior Staff Global Supply Manager, EE ComponentsALSO · Palo Alto
Browse these categories
Market data for this role
All reports →- SeriesRole reportsOne role family at a time: how many openings, what changed this week, who is hiring, what it pays.
- SeriesSalary reportsWhat employers publish in job postings, by level and workplace. Not self-reported pay.
- Market overviewState of tech hiring, September 2026: up 4.8%Tech hiring rose 4.8% month over month in September 2026, with 411,122 new listings. Customer support and account executive roles led the growth.
