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Online Data Rater Jobs in Fairfield, CA (NOW HIRING)

Faire

Data Science Intern

San Francisco, CA · On-site

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... online experimentation * Experience working with large-scale or production datasets Pay rate: San ...

HappyRobot Inc

Data Scientist

San Francisco, CA · On-site

... rates. * Connect offline model evaluations with production performance and real-world customer ... Familiarity with ML evaluation systems and the relationship between offline evaluations and online ...

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Online Data Rater information

See Fairfield, CA salary details

$5

$26

$66

How much do online data rater jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for online data rater in Fairfield, CA is $26.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.46 and $25.93 per hour, depending on experience, location, and employer.

What is an online data rater?

An Online Data Rater is responsible for evaluating and rating online content, ads, search results, or other internet-based data to improve relevance and quality. This role typically involves following specific guidelines to assess the accuracy and usefulness of information. Raters work independently, often as remote contractors, and are expected to complete tasks efficiently and objectively. Strong analytical skills, attention to detail, and familiarity with online platforms are essential for success in this position.

What does an online data rater do?

As an Online Data Rater, your typical workday involves reviewing online content, such as search engine results or advertisements, and rating their relevance according to predefined guidelines. Most work is completed independently from a remote location, offering a high degree of flexibility in your schedule, though you may have to meet minimum hours or productivity targets. You’ll log into a secure platform, complete assigned tasks, and submit ratings or feedback, with occasional opportunities to participate in team meetings or receive updated training. This structure is ideal for self-driven individuals who enjoy focused, detail-oriented work and value the ability to manage their own workflow.

What skills and qualifications are needed to be an online data rater?

To thrive as an Online Data Rater, you need strong analytical and research skills, attention to detail, and proficiency in reading and understanding guidelines, with a high school diploma or equivalent typically required. Familiarity with web-based evaluation tools, secure data platforms, and sometimes browser extensions or proprietary rating systems is common. Time management, self-motivation, and the ability to work independently are valuable soft skills that distinguish top performers. These abilities help ensure evaluations are accurate, consistent, and completed efficiently, directly impacting data quality and client satisfaction.

What cities near Fairfield, CA are hiring for Online Data Rater jobs?

Cities near Fairfield, CA with the most Online Data Rater job openings:

Online Data Rater jobs near you

Data Science Intern

San Francisco, CA • On-site

Faire
See more jobs at Faireexternal

$75/hr

Internship

Re-posted 15 days ago

Job description

Data Science Internship - Fall 2026

Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-commerce platforms and big-box stores. Our Data Science team builds and maintains the algorithmic systems - spanning search, personalization, recommendation, and ranking - that power our marketplace and help our customers thrive.

We are hiring Data Science interns across several teams and are looking for intellectually curious, self-directed problem solvers eager to work end-to-end on high-impact challenges, from data exploration to production-ready solutions.

Our internships are paid, 12-14 weeks in duration, with flexible start dates. Extensions are considered based on project scope and mutual interest.

Open Team

Search & Recommendation

  • Design and deploy state-of-the-art recommender systems that power ranking and discovery across the marketplace
  • Develop rich user and item representations through embeddings, sequence models, and graph-based methods
  • Build real-time and streaming data pipelines that enable dynamic, context-aware personalization at scale
  • Apply exploration-exploitation strategies - including contextual bandits and reinforcement learning - to optimize recommendations under uncertainty
  • Advance recommendation quality through improvements to diversification, novelty, and long-term user engagement
  • Own the full ML lifecycle: from problem formulation and modeling through offline evaluation and online experimentation

What You'll Do

  • Design, develop, and A/B test cutting-edge machine learning algorithms and analytical solutions, with guidance from senior technical leads
  • Communicate project objectives, methodologies, and results clearly to both immediate teammates and broader cross-functional stakeholders
  • Navigate the complexity of a two-sided marketplace, identifying and addressing the unique challenges that arise at the intersection of retailer and brand needs

What We're Looking For

All candidates must be currently enrolled or recently graduated Master's or PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related technical discipline. Beyond that, we're looking for team-specific experience:

Search & Recommendation Systems

  • Publications or submissions to top-tier venues such as KDD, RecSys, ICML, NeurIPS, WWW, or SIGIR
  • Experience with recommender systems (collaborative filtering, deep recommenders, ranking), representation learning and embeddings, sequential models (RNNs, Transformers for user behavior modeling), bandit and reinforcement learning methods, and large-scale retrieval and ranking systems
  • Familiarity with offline evaluation metrics (NDCG, MAP, recall) and online experimentation
  • Experience working with large-scale or production datasets

Pay rate:

San Francisco: the pay rate for this role is $75 USD per hour.

Actual hourly pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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