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Data Annotation Jobs in Santa Rosa, CA (NOW HIRING)

mpathic

Head of Sales

Bodega Bay, CA · Remote

Drive adoption of our human-data services, evaluation workflows, annotation services, and platform capabilities. * Expand existing enterprise accounts with new use cases and product lines, partnering ...

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Data Annotation information

See Santa Rosa, CA salary details

$10

$28

$60

How much do data annotation jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for data annotation in Santa Rosa, CA is $28.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.00 and $33.45 per hour, depending on experience, location, and employer.

Is data annotation a legitimate?

Data annotation is a legitimate job that involves labeling data such as images, text, or audio to help train machine learning models. It is commonly performed remotely and requires attention to detail, basic technical skills, and familiarity with annotation tools. Many companies hire data annotators as part of their AI development teams.

What does a typical workday look like for someone in a Data Annotation role?

A typical workday as a Data Annotator involves reviewing datasets—such as images, audio, text, or video—and accurately labeling or categorizing information according to specific project guidelines. Most Data Annotators work independently, but they often collaborate with project managers or data scientists to clarify requirements and resolve ambiguities. Tasks may be repetitive, but adhering to precise standards is vital for maintaining data quality. Work environments can range from technology companies to remote or freelance settings, and advancement opportunities exist as team leads or quality assurance specialists for those who excel in consistency and reliability.

What is a Data Annotation job?

A Data Annotation job involves labeling and categorizing data, such as text, images, audio, or video, to help train machine learning models. Annotators apply tags, bounding boxes, or classifications to data based on specific guidelines. This process improves the accuracy of AI systems in recognizing patterns and making predictions. Many data annotation jobs require attention to detail and familiarity with specific domains. It is commonly used in applications like autonomous driving, natural language processing, and computer vision.

What are the key skills and qualifications needed to thrive in the Data Annotation position, and why are they important?

To thrive in Data Annotation, you need strong attention to detail, accuracy, and basic data handling skills, often supported by a high school diploma or equivalent. Familiarity with annotation platforms, data labeling software, or content management systems is frequently required, though specific certifications are rare. Excellent communication, time management, and the ability to focus on repetitive tasks distinguish top performers in this role. These skills are crucial because accurate and consistent data annotation directly impacts the quality of machine learning models and AI applications.

What does a data annotator do?

A data annotator labels and tags data such as images, text, or videos to help machine learning models understand and learn from the data. They use tools and follow guidelines to ensure accuracy and consistency, often working with large datasets in a structured environment. Attention to detail and knowledge of annotation tools are important for this role.

Do people actually make money on data annotation?

Data annotation jobs can provide a source of income, with pay rates varying based on the complexity of tasks, platform, and experience. Many annotators earn hourly or per-task wages, but earnings often depend on the volume of work completed and the employer's pay structure.

Is it hard to get hired for data annotation?

Getting hired for a data annotation role generally depends on the employer's requirements, such as attention to detail and basic computer skills. Many positions are entry-level and may not require prior experience or certifications, making them accessible to a wide range of applicants. However, competition can vary based on the number of available jobs and the quality of applicants.
What are the most commonly searched types of Data Annotation jobs in Santa Rosa, CA? The most popular types of Data Annotation jobs in Santa Rosa, CA are:
What job categories do people searching Data Annotation jobs in Santa Rosa, CA look for? The top searched job categories for Data Annotation jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Data Annotation jobs? Cities near Santa Rosa, CA with the most Data Annotation job openings:
Data Annotation jobs near you
Infographic showing various Data Annotation job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 53% Part Time, and 6% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $58,435 per year, or $28.1 per hour.
Head of Sales

Head of Sales

mpathic

Bodega Bay, CA • Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

Job description

About mpathic.ai

mpathic is keeping humans safe in the AI era through automated tools and expert datasets that are rooted in psychology and powered by clinicians.
We are a series A start-up backed by Tier 1 investors including Foundry.vc and Next Frontier Capital.

Position Overview

Your mission is to build the official sales organization, establishing the structure, processes, and team that take us from founder-led sales to a scalable, predictable revenue engine.


As our first sales hire, you will be both architect and operator: defining GTM strategy, building outbound and inbound motions, selling directly into enterprise AI teams, and standing up the pipeline, people, and processes required for scale. You will hire and lead our first SDR/BDR, develop early AEs, and own the full sales lifecycle for all Enterprise and Commercial accounts across AI safety, evaluation, red teaming, and human-data workflows.


This is a U.S.-based remote position. Candidates must reside in the United States.Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for visa sponsorship.

Key Responsibilities

Sales & GTM Leadership

  • Build mpathic.ai's sales function from the ground up-strategy, pipeline generation, playbooks, processes, and tooling.
  • Develop and execute GTM strategy for Enterprise and Commercial customers in AI safety, quality, evaluation, and human-in-the-loop data workflows.
  • Own revenue forecasting, pipeline health, and operational rigor across segments.
  • Define segmentation, ICP, pricing/packaging, and territory strategy outside of strategic named accounts handled by the founders.

Enterprise & Commercial Sales Execution

  • Personally prospect, develop, and close high-value opportunities across enterprise AI, ML platform teams, innovation groups, and regulated industries.
  • Lead multi-stakeholder sales cycles involving data, safety, procurement, security, and technical decision-makers.
  • Drive adoption of our human-data services, evaluation workflows, annotation services, and platform capabilities.
  • Expand existing enterprise accounts with new use cases and product lines, partnering closely with Customer Success and Product.

Team Building & Management

  • Hire, train, and manage our first SDR/BDR to establish a consistent outbound engine.
  • Build hiring profiles, compensation plans, and performance frameworks as the team grows.
  • Mentor early AEs when appropriate and establish a strong, scalable sales culture.
  • Collaborate with the founders on smooth transitions between founder-led and sales-led opportunities.

Sales Operations & Process Excellence

  • Stand up our CRM strategy, reporting, automations, and sales tooling ecosystem.
  • Implement repeatable playbooks for discovery, demos, qualification, objection handling, and proposal development.
  • Build dashboards and structured operating cadences for executive visibility.
  • Design consistent outbound sequences and pipeline development motions.

Market Insight & Cross-Functional Leadership

  • Maintain a deep understanding of the AI ecosystem, particularly AI safety, RLHF, evaluation, red teaming, and human feedback workflows.
  • Provide market insights to Product and Leadership to shape roadmap and positioning.
  • Represent mpathic.ai at conferences, customer workshops, and AI community events.

Qualifications

Required Experience

  • 7+ years of experience in enterprise and commercial sales, ideally at a Series A-C AI, ML, or data-focused company.
  • Proven success selling to enterprise ML, data science, safety, or evaluation teams.
  • Experience as a first or early sales hire, with a track record of building GTM motions from zero-to-one.
  • Demonstrated ability to hire, onboard, and manage SDR/BDR teams.
  • Strong experience driving complex, technical, multi-stakeholder deals end-to-end.
  • Familiarity with human-in-the-loop data pipelines, annotation workflows, RLHF, red teaming, or evaluation services.
  • Candidates must reside in the United States and be currently authorized to work in the United States on a full-time basis.

Skills & Attributes

  • Strategic operator who enjoys rolling up their sleeves and closing deals personally.
  • Strong process builder with disciplined forecasting and pipeline management.
  • Excellent communication skills with both technical and executive audiences.
  • High adaptability and comfort working in a fast-moving, ambiguous startup environment.
  • Deep curiosity about AI safety, alignment, and the role of high-quality human data.

Success Metrics

  • Clear transition from founder-led sales to a defined, scalable sales organization.
  • Predictable pipeline generation for Enterprise and Commercial segments.
  • Consistent achievement of quarterly and annual revenue targets.
  • Successful hiring and enablement of SDR/BDR and early AEs.
  • Improved conversion rates, shortened sales cycles, and high customer satisfaction.
  • Repeatable enterprise sales motions for both human-data services and platform offerings.

Why Join mpathic.ai?

  • Shape the future of AI safety and human-centered model alignment.
  • Work directly with leading AI builders, enterprise innovators, and safety teams.
  • Build a sales organization from the ground up with massive room for ownership and impact.
  • Join a mission-driven team focused on enabling safer, more emotionally intelligent AI systems.


Compensation and Benefits

  • Competitive base salary with uncapped earnings potential
  • Equity
  • Company-funded health, dental, and vision insurance
  • 401k with 4% company match
  • Well-being programs
  • Flexible paid time off
  • Mission-driven work solving AI Safety challenges


IMPORTANT - How to Apply
We can only accept and review and applications via our direct official recruiting portal:https://mpathic2.bamboohr.com/careers, due to the abundance of 3rd party apps and automated agents. Only applications submitted directly by the applicant through our portal will be considered.

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