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Entry Level Ai Data Annotation Jobs in California

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate in remote assignments or attend on-site sessions when required * Follow project guidelines and ...

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA ...

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

... annotation, curation, and quality review • Build and improve QA processes to ensure data output meets the standards required by frontier AI labs • Own product ops for the data platform. Work with ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $150K/yr

Skild AI is building the world's first general purpose robotic intelligence that adapts to unseen ... data annotation tools, dataset management, and augmentation techniques. • Familiarity with ...

Position Overview We are seeking a Computer Vision AI & ML Engineer to design, build, and deploy ... Experience with data annotation tools, dataset management, and augmentation techniques.

Human Data Solutions Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The role As a Human Data Operations & Solutions Engineer at Encord, you will sit at the ... Manage end-to-end delivery of small-scale annotation POCs - translating complex AI requirements ...

Computer Vision AI & ML Engineer

San Mateo, CA · On-site

$127K - $149K/yr

Company Overview At Skild AI, we are building the world's first general purpose robotic ... Experience with data annotation tools, dataset management, and augmentation techniques.

Entry Level Data/AI Engineer

San Diego, CA · On-site

$121K - $146K/yr

Entry-Level Data & AI Consultant CCS Global Tech is a Microsoft Solutions Partner and technology consulting company helping recent STEM graduates launch careers in Data, Cloud, Business Intelligence ...

... data ingestion from deployed kitchen units, ground truth generation, annotation tooling (including ... applying AI to food waste reduction and sustainability. This is a mission-driven product and we ...

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Entry Level Ai Data Annotation information

What is an Entry Level AI Data Annotation job?

An Entry Level AI Data Annotation job involves labeling and categorizing data such as images, text, audio, or video to help train artificial intelligence (AI) and machine learning models. Annotators follow specific guidelines to tag data accurately, ensuring that AI systems learn to recognize patterns correctly. These positions typically require attention to detail, basic computer skills, and the ability to follow instructions. No advanced technical knowledge is usually required, making it a great way to start a career in the AI or tech industry.

What are some common challenges faced by entry-level AI data annotation specialists, and how can they be addressed?

Entry-level AI data annotation specialists often encounter challenges such as maintaining consistency and accuracy while labeling large volumes of data, understanding nuanced instructions, and adapting to changing project requirements. These challenges can be addressed by actively seeking clarification from team leads, participating in training sessions, and regularly reviewing annotation guidelines. Collaborating with teammates and using quality assurance feedback also helps improve accuracy and ensures alignment with project standards.

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

To thrive as an Entry Level AI Data Annotation Specialist, attention to detail, basic computer literacy, and a high school diploma or equivalent are typically required. Familiarity with data labeling platforms, annotation tools, and spreadsheet software is often expected. Strong organizational skills, focus, and the ability to work independently help individuals excel in this role. These skills ensure accurate and efficient data labeling, which is crucial for developing reliable AI and machine learning models.
What are the most commonly searched types of Ai Data Annotation jobs in California? The most popular types of Ai Data Annotation jobs in California are:
What are popular job titles related to Entry Level Ai Data Annotation jobs in California? For Entry Level Ai Data Annotation jobs in California, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Data Annotation jobs in California look for? The top searched job categories for Entry Level Ai Data Annotation jobs in California are:
What cities in California are hiring for Entry Level Ai Data Annotation jobs? Cities in California with the most Entry Level Ai Data Annotation job openings:
Infographic showing various Entry Level Ai Data Annotation job openings in California as of July 2026, with employment types broken down into 76% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Project Manager

Abaka AI

Palo Alto, CA • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Abakaai is a company focused on project management in the technology sector. They are seeking a Project Manager to work closely with clients to confirm project requirements, develop detailed project plans, and ensure high-quality delivery throughout the project lifecycle.
Responsibilities:
• Work closely with clients to confirm project requirements, develop detailed project plans, set budgets, and ensure on-time, high-quality delivery.
• Oversee the full project lifecycle, including scheduling, progress tracking, and risk management, while ensuring deliverables meet quality standards.
• Act as the main point of contact for clients, suppliers, and internal teams—proactively addressing feedback and resolving issues that arise during execution.
• Coordinate with technical and cross-functional teams to align on priorities, remove roadblocks, and maintain smooth communication across departments.
• Manage and deliver annotated datasets and other project outputs according to client specifications.
• Continuously assess and improve project workflows to enhance efficiency, cost-effectiveness, and client satisfaction.
• Develop and structure solution frameworks for projects, ensuring that client needs are met through practical, scalable, and efficient approaches.
Qualifications:
Required:
• 2+ years of experience in project management, operations, or related roles.
• Strong organizational skills with the ability to manage multiple projects simultaneously and adapt to changing priorities.
• Demonstrated ability to work independently, take ownership of results, and navigate challenges with persistence and problem-solving skills.
• Excellent client-facing and cross-functional communication skills—capable of building strong relationships and managing expectations.
• Fluent spoken and written English.
• Comfortable working in a fast-paced, global environment; flexible working hours may be required to coordinate with international teams.
• Ability to design and present a clear solution framework for each project, aligning technical, operational, and client requirements.
Preferred:
• Experience in the AI, data, or technology industry is a strong plus.
• Proficiency in additional languages considered a plus.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.