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Remote Data Annotation Jobs in Santa Clara, CA (NOW HIRING)

Corvus Robotics

Sr. ML Ops Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

We believe that data-driven, safe inventory management will optimize the global physical economy ... Experience setting up annotation tooling and workflows * Background in robotics autonomy and ...

All JobsData Annotation JobsRemote Data Annotation JobsRemote Data Annotation Jobs in Santa Clara, CA

Remote Data Annotation information

See Santa Clara, CA salary details

$11

$38

$86

How much do remote data annotation jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for remote data annotation in Santa Clara, CA is $38.90, according to ZipRecruiter salary data. Most workers in this role earn between $19.92 and $50.49 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed for remote data annotation?

To thrive as a Remote Data Annotation specialist, strong attention to detail, accuracy, and familiarity with basic data processing concepts are essential, often requiring a high school diploma or equivalent. Experience using data labeling platforms, annotation tools (such as Labelbox or Supervisely), and sometimes familiarity with spreadsheet software may be required. Excellent time management, communication skills, and the ability to work independently are valuable soft skills in this remote role. These skills are vital to ensure that data annotations are consistent, precise, and delivered on schedule, which directly impacts the quality of AI and machine learning outcomes.

What is the best remote data annotation company to work for?

Remote data annotation jobs are offered by various companies, including industry leaders like Appen, Lionbridge, and Scale AI, which provide flexible schedules and require attention to detail. The best company depends on factors such as pay, work environment, and project types, so researching reviews and job requirements can help identify suitable options.

How much do remote data annotation jobs pay?

Remote data annotation jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the company. Some roles may offer project-based pay or part-time schedules, with higher rates for specialized skills or tools like labeling software.

What does a remote data annotation specialist do?

Daily tasks for a Remote Data Annotation role usually involve reviewing and labeling large volumes of data—such as images, audio clips, text, or video—according to specific project guidelines. You will use specialized annotation tools to identify objects, transcribe content, categorize information, or tag relevant features to support machine learning projects. Communication with project managers or quality assurance teams may be necessary for feedback and clarity on guidelines. Most roles also require regular self-checks for accuracy and the ability to meet productivity quotas or deadlines. This structure allows for a combination of focused individual work and occasional team collaboration to ensure project goals are met.

What is remote data annotation?

A Remote Data Annotation job involves labeling, tagging, or categorizing data (such as images, text, audio, or video) to help improve machine learning models. This work is typically done from home using specialized annotation tools provided by employers. Accuracy and attention to detail are essential, as the quality of annotations directly impacts AI model performance. Many companies hire remote annotators on a freelance, part-time, or contractual basis.

What are the most commonly searched types of Data Annotation jobs in Santa Clara, CA? The most popular types of Data Annotation jobs in Santa Clara, CA are:
What are popular job titles related to Remote Data Annotation jobs in Santa Clara, CA? For Remote Data Annotation jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Annotation jobs in Santa Clara, CA look for? The top searched job categories for Remote Data Annotation jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Remote Data Annotation jobs? Cities near Santa Clara, CA with the most Remote Data Annotation job openings:
Remote Data Annotation jobs near you
Infographic showing various Remote Data Annotation job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,907 per year, or $38.9 per hour.

Lead Generative AI Analyst - English (US)

Welo Data

Santa Clara, CA • Remote

$50/hr

Full-time

Posted 18 days ago

Job description

We're looking for an experienced Lead Generative AI Analyst to join our team. This leadership role is open to both hybrid and remote candidates, with a preference for those who can work in a hybrid capacity from our Santa Clara, CA office. We're looking for someone who enjoys coordinating people, solving operational challenges, and delivering high-quality results in a fast-paced AI environment.

Rather than focusing on individual annotation work, you'll lead the day-to-day execution of AI data operations, partnering with annotators, quality teams, and cross-functional stakeholders to ensure projects are delivered efficiently, consistently, and at the highest quality standards.

If you have a strong background in project management, operations, or leading production teams—and you're excited about working on cutting-edge Generative AI initiatives—this role is for you.

 
What You'll Do
  • Lead the day-to-day operations of a team of multimodal AI annotators and reviewers.
  • Provide people leadership, including coaching, performance management, workload planning, and team development.
  • Drive project execution by balancing quality, delivery timelines, and operational priorities.
  • Own client-facing meetings, providing project updates, discussing risks, action plans, and delivery progress.
  • Serve as the primary point of contact for workflow questions, issue resolution, and project escalations.
  • Monitor team performance, quality metrics, productivity, and project health, identifying opportunities for continuous improvement.
  • Develop and refine annotation guidelines, documentation, and quality standards as projects evolve.
  • Coordinate calibration sessions and quality reviews to ensure consistent decision-making across the team.
  • Partner with cross-functional stakeholders, including Quality, Operations, Product, and Engineering teams, to resolve complex cases and improve workflows.
  • Support onboarding, coaching, and ongoing development of new team members.
  • Identify operational risks early and proactively drive solutions to keep projects on track.
  • Prepare regular reports on project status, quality trends, and key operational metrics.
What We're Looking For
  • 5+ years of experience in AI data operations, data annotation, content quality, Trust & Safety, data labeling, or similar production environments.
  • 3+ years of experience leading teams and managing projects, with ownership of delivery, quality, and operational outcomes.
  • Demonstrated experience managing personnel, priorities, and multiple workstreams simultaneously.
  • Experience leading client meetings and communicating project status to internal and external stakeholders.
  • Strong stakeholder management and communication skills.
  • Excellent written and verbal English.
  • Exceptional organizational skills with the ability to prioritize in a fast-moving environment.
  • Experience creating documentation, operational processes, or quality guidelines.
  • Comfortable making decisions in ambiguous situations while maintaining consistency and accuracy.
Preferred Qualifications
  • Experience leading AI, machine learning, or multimodal annotation programs.
  • Experience managing QA operations, calibration sessions, audits, and quality improvement initiatives.
  • Familiarity with annotation tools and AI data workflows.
  • Experience working with Product, Engineering, Research, or Vendor Management teams.
  • Knowledge of reporting, dashboards, workflow optimization, or process improvement.
  • Basic Python, SQL, or data analysis skills are a plus.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.