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Contract Ai Data Annotation Jobs in Santa Rosa, CA

AI Data Scientist-Furman lab

Novato, CA ยท On-site

$60K - $75K/yr

Developing systems that assist with literature mining, data annotation, hypothesis generation, and biological interpretation * Evaluating the performance, limitations, and reliability of AI-enabled ...

Senior Director, AI

Bodega Bay, CA ยท On-site +1

$257K - $402K/yr

Secure and allocate funding for specialized datasets and data annotation services. * Evaluate and procure necessary software licenses and tools for AI development and simulation. * Regularly report ...

About the Role We're building an AI-native platform where industrial data becomes actionable ... contract terms, and surfacing risks or dependencies. * Data Evaluation : Assess sample datasets for ...

Data Engineer (Founding Team)

Bodega Bay, CA ยท On-site

$135K - $163K/yr

Normalize and vectorize data for downstream AI/LLM workflows -- enabling retrieval-augmented generation (RAG), summarization, and alerting * Create and manage data contracts, access layers, lineage ...

... AI experiences. We expect this person to become the deepest expert at Procore on construction data ... Strong enough technically to review data model designs, evaluate API contracts, and have credible ...

... SaaS contracts o Cloud agreements o AI platform licensing o Enterprise software renewals o ... stakeholders through data-driven insights and strategic recommendations. Risk, Compliance ...

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Contract Ai Data Annotation information

What are the key skills and qualifications needed to thrive as a Contract AI Data Annotation Specialist, and why are they important?

To thrive as a Contract AI Data Annotation Specialist, you need attention to detail, familiarity with data labeling concepts, and at least a high school diploma or relevant experience. Proficiency with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth, as well as basic understanding of data formats, is typically required. Strong communication, time management, and the ability to follow precise guidelines help you excel in this role. These skills ensure accurate, high-quality datasets that are critical for training effective AI and machine learning models.

What are some common challenges faced by contract AI data annotators, and how can they be addressed?

Contract AI data annotators often encounter challenges such as maintaining consistency across large datasets, understanding complex labeling guidelines, and meeting tight project deadlines. To address these, it's important to thoroughly review project documentation, participate in onboarding or training sessions, and communicate proactively with project managers or team leads when questions arise. Leveraging annotation tools efficiently and seeking feedback on your work can also help improve accuracy and productivity, making it easier to adapt to varying project requirements.

What is a Contract AI Data Annotation job?

A Contract AI Data Annotation job involves labeling or tagging data, such as images, text, audio, or video, to help train artificial intelligence (AI) and machine learning models. As a contractor, you'll work on specific projects for a set period, rather than as a full-time employee. The work is detail-oriented and may involve tasks like categorizing objects in photos, transcribing audio, or marking up text for sentiment or intent. This role is crucial in ensuring that AI systems learn accurately and perform well. Contract AI data annotators often work remotely and may be paid by the hour or per task.

What is the difference between Contract Ai Data Annotation vs Data Labeler?

AspectContract Ai Data AnnotationData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, project-basedRemote or on-site, project-based
Industry UsageAI, machine learning, tech companiesAI, machine learning, tech companies
Job FocusAnnotating data for AI trainingLabeling data for AI models

Contract Ai Data Annotation and Data Labeler roles are similar, both involve preparing data for AI systems. However, Contract Ai Data Annotation often encompasses a broader range of annotation tasks and may require familiarity with specific tools or platforms. Both roles are essential in AI development and are commonly found in tech industries, with similar work environments and credential requirements.

What job categories do people searching Contract Ai Data Annotation jobs in Santa Rosa, CA look for? The top searched job categories for Contract Ai Data Annotation jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Contract Ai Data Annotation jobs? Cities near Santa Rosa, CA with the most Contract Ai Data Annotation job openings:
Infographic showing various Contract Ai Data Annotation job openings in Santa Rosa, CA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.
Data Annotation Specialist

Data Annotation Specialist

Blackstone Talent Group

Santa Rosa, CA โ€ข On-site

$30 - $35/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Annotation Specialist


Position Details:

Location: San Francisco, CA 94107 (Onsite)

Type: Contract

$30-35w2 per hour


The Annotation QA Specialist is responsible for ensuring the quality, accuracy, and consistency of annotated datasets. Working closely with internal teams, this role maintains high standards of data integrity and supports the smooth execution of data-related projects.


Responsibilities

  • Serve as the primary quality checkpoint for our route configuration and annotation process, ensuring adherence to quality standards and project requirements.
  • Review and evaluate datasets for accuracy, completeness, and consistency โ€” identifying, flagging, and resolving discrepancies or errors.
  • Conduct regular quality control audits on annotated data, implementing and tracking corrective measures as needed.
  • Document QA findings and trends, providing actionable insights and recommendations to improve annotation quality over time.
  • Collaborate with annotation team members and cross-functional partners to communicate quality standards and address recurring issues.
  • Assist with data analysis and reporting tasks as needed.


Required Qualifications

  • Excellent attention to detail with a high degree of accuracy in reviewing and evaluating annotated data.
  • Strong communication and interpersonal skills, with the ability to work effectively in a team environment.
  • Ability to prioritize tasks, meet deadlines, and adapt to shifting project requirements.
  • Strong analytical and problem-solving skills, with the ability to translate data findings into actionable recommendations.
  • Proficiency in spreadsheet tools (Excel, Google Sheets).




EEO Statement:


Blackstone Talent Group is a division of Blackstone Technology Group, a global IT services and solutions firm that implements technological solutions across commercial industry verticals and the US Federal Government. Blackstoneโ€™s global talent augmentation practice was founded in 1998. Blackstone Talent Group has offices in San Francisco, Denver, Houston, Colorado Springs, and Washington, DC. We specialize in providing clients the best talent across a variety of industries and sectors.