AI Data Specialist: Pipelines, Labeling & Governance

SGS Consulting; Sacramento (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

SGS Consulting in Sacramento, CA seeks a data-focused engineer/scientist to manage data labeling workflows and build robust data pipelines for ML models. You will annotate data, use LLMs for labeling and evaluation, and work with engineers to summarize model gaps for retraining.

Ideal candidates have experience with Python/SQL, ETL, and basic computer vision concepts, with a collaborative mindset and strong attention to detail.

Qualifications

• Associate's degree or equivalent in CS/Engineering/Physics/Bioinformatics or STEM.
• Industrial software development/testing or HCI research preferred.
• MAANG experience preferred.

Responsibilities

• Data Curation: Manage labeling workflows and extract labels into datasets.
• Data Engineering (Pipelines): Maintain large-scale data processing pipelines.
• Data Governance: Govern access, retention, and privacy of datasets.
• Annotations: Manually annotate training data per modeling needs.
• LLMs and models: Use LLMs to annotate or evaluate data and audit model performance.
• Analysis: Collaborate to identify model gaps and mine data for retraining.

Skills

Communication skills

Problem solving

Interpersonal skills

Attention to details

Experimental investigations

Independent work

Time management

Python

SQL

Unix

Computer vision

Generative models

ETL pipelines

LLM data labeling

Education

Associate's degree or equivalent in STEM

Experience in software development or HCI

MAANG experience preferred

Job description

SGS Consulting in Sacramento, CA seeks a data-focused engineer/scientist to manage data labeling workflows and build robust data pipelines for ML models. You will annotate data, use LLMs for labeling and evaluation, and work with engineers to summarize model gaps for retraining.

Ideal candidates have experience with Python/SQL, ETL, and basic computer vision concepts, with a collaborative mindset and strong attention to detail.