itD · 9 hours ago
Data Analyst I--Onsite – Menlo Park, CA (MPK)
Menlo Park, CA
Full-time
Onsite
Entry Level
1+ years expitD is seeking a Data Analyst I to support large-scale data curation, evaluation, and analytics efforts that directly improve the quality of next-generation generative AI models. This role involves building and maintaining high-volume data pipelines and managing annotations to enhance model performance.
ConsultingInformation TechnologyIT ManagementProfessional ServicesSaaSSoftwareSoftware Engineering
No H1B
Responsibilities
Manage end-to-end data curation and labeling workflows, including data queueing, annotation processes, and extraction of labeled datasets for modeling teams
Maintain and support large-scale data processing pipelines handling billions of images, including data sourcing, transformation, and enrichment
Apply machine learning models and large language models (LLMs) to analyze, clean, and label training data at scale
Govern datasets by ensuring data access controls, retention policies, and privacy compliance are consistently met
Perform manual and automated data annotations based on model requirements and conduct audits to evaluate annotation quality
Collaborate with engineers and researchers to analyze evaluation results, identify model quality gaps, and determine future data needs
Prepare curated datasets to support iterative model training and evaluation cycles
Attend regular internal practice community meetings
Collaborate with your itD practice team on industry thought leadership
Complete client case studies and learning material (blogs, media material)
Build out material to contribute to the Digital Transformation practice
Attend internal itD networking events (in person and virtual)
Work with leadership on career fast-track opportunities
Qualification
Required
1–2 years of professional experience in data analytics, data engineering, or a related technical role
Working knowledge of Python and SQL
Basic understanding of computer vision concepts and generative models
Experience or familiarity with data ETL workflows and data pipelines
Experience using LLMs or machine learning models for data labeling, evaluation, or analysis
Strong verbal and written communication skills with the ability to collaborate cross-functionally
Ability to work onsite in Menlo Park, CA, and manage tasks independently
Associate's degree in Computer Science, Electronic Engineering, Physics, Bioinformatics, or another STEM-related field or equivalent practical experience required
Preferred
Prior experience in software development, software testing, or human–computer interaction research
Previous experience supporting large-scale machine learning or AI-related data initiatives
Prior experience working in fast-paced, research-driven environments
Benefits
Comprehensive medical benefits
401(k) plan
Paid holidays
Medical, dental, vision, life insurance
401K + matching
Networking & career learning and development programs
Company
itD
itD is a different kind of technology and software development consultancy that puts client needs at the center of what we do.
501-1000 employees
Funding
Current Stage
Late StageLeadership Team
Valerie Risch
VP of Enterprise Collaboration Solutions
Raju Kotha
Director - Application Delivery
Recent News
2024-12-13
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