2

Data Entry Disability Remote Jobs in California (NOW HIRING)

Data Scientist

San Francisco, CA ยท On-site +1

$150K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a

Office Admin

Chatsworth, CA ยท On-site +1

$17.25 - $22.50/hr

Job Title: Home Office Assistant Location: Chatsworth, Los Angeles Job Type: Full-Time / Part-Time About Us: We are a growing company seeking a reliable and motivated individual to join our team as a

Soccer Data Scientist

San Francisco, CA ยท On-site +1

$130K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a

Operator

Burbank, CA ยท Remote

Description The Operator will primarily answer phones in a pleasant and professional manner and provide information and assistance to other departments as needed. In addition to administrative duties

Tennis Data Scientist

San Francisco, CA ยท On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a

The Role Can you build a world-class team of IVD CRAs? We have a passionate, caring, hard-working clinical operations team that wants to perfect its craft. We are looking for someone who can raise

Staff Accountant

Covina, CA ยท Remote

$30 - $35/hr

Staff AccountantRole Summary Are you an analytical, detail-oriented accounting professional looking to apply your financial expertise within a meaningful, mission-driven environment? We are seeking a

Pharmacy Technician

San Diego, CA ยท On-site +1

$18.50 - $22.50/hr

San Diego, CA Artemis Institute for Clinical Research Full-time | Onsite (no opportunities for hybrid or remote) For experienced Pharmacy Technicians looking for meaningful work in clinical research.

Showing results 41-60

Data Entry Disability Remote information

What is a data entry disability remote job?

A Data Entry Disability Remote job involves entering, updating, and managing data related to disability claims, benefits, or records, all while working from a remote location. Employees in this role typically handle sensitive information, such as medical records or disability documentation, and input it into databases or special software for organizations like insurance companies, healthcare providers, or government agencies. The position requires strong attention to detail, accuracy, and confidentiality, as well as proficiency with computers and data entry tools. Remote work allows individuals to perform these tasks from home, providing flexibility and accessibility for both employers and employees.

What are the key skills and qualifications needed to thrive as a data entry disability remote specialist?

To thrive as a Data Entry Disability Remote specialist, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with data entry software, Microsoft Office Suite, and secure document management systems is typically required. Exceptional organizational skills, reliability, and the ability to maintain confidentiality are crucial soft skills for this role. These abilities ensure accurate record-keeping, support compliance with privacy regulations, and contribute to efficient remote workflows.

What are some common challenges faced in a remote data entry disability role, and how can they be managed?

In a remote Data Entry Disability position, common challenges include maintaining accuracy while handling sensitive medical or disability-related information, staying organized with high volumes of data, and communicating effectively with team members who may be in different locations. To manage these challenges, it's important to establish a reliable workspace, utilize secure data management tools, and follow strict confidentiality protocols. Regular virtual check-ins and clear documentation practices can help ensure you remain connected with your team and maintain data integrity.

What is the difference between Data Entry Disability Remote vs Data Entry Clerk?

AspectData Entry Disability RemoteData Entry Clerk
CredentialsBasic computer skills, sometimes accommodations for disabilitiesBasic computer skills, high school diploma often required
Work EnvironmentRemote, accessible for disabilitiesOffice or remote, depending on employer
Industry UsageCommon in organizations supporting disabilities or remote workWidespread across various industries
Search IntentLooking for accessible remote data entry jobs for disabilitiesGeneral data entry roles in various settings

Data Entry Disability Remote jobs focus on providing accessible, remote opportunities for individuals with disabilities, often with accommodations. Data Entry Clerk roles are standard data entry positions available across industries, typically requiring basic skills. The main difference lies in accessibility and work environment, with the former emphasizing remote and accessible work options.

What job categories do people searching Data Entry Disability Remote jobs in California look for?

The top searched job categories for Data Entry Disability Remote jobs in California are:

What cities in California are hiring for Data Entry Disability Remote jobs?

Cities in California with the most Data Entry Disability Remote job openings:

Infographic showing various Data Entry Disability Remote job openings in California as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Data Scientist

San Francisco, CA โ€ข On-site, Remote

Swish Analytics
Spectator Sportsย โ€ขย 1 - 10 employees

$150K/yr

Full-time

Re-posted 26 days ago


Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
You'll be joining a team that is working to develop the infrastructure for a system to optimize our simulation outputs based on a variety of external and internal signals. This role will work at the intersection of data science, trading, and data engineering to help develop and maintain trader automation algorithms that will react faster to signals as well as improve model accuracy. This position is remote from the USA or Canada.
Duties:
  • Develop infrastructure for trader automation and system performance tracking
  • Develop high-performance and low-latency products to react to external and internal signals
  • Analysis of live-streaming data and turning it into actionable decisions
  • Design and set up tests to detect unexpected changes to our models resulting from manual interactions.
  • Use extensive experience to build, test, debug, and deploy production-grade components
  • Ideate, develop, and improve machine learning and statistical models that drive Swish's core algorithms, growing into top-level simulation output modeling as we expand to new sports.
  • Develop contextualized feature sets that draw on sports-specific domain knowledge.
  • Contribute across all stages of model development - from proof-of-concept and beta testing to partnering with data engineering and product teams to deploy new models.
  • Constantly improve model performance using insights from rigorous experimentation.
  • Assess model performance, identify weaknesses, and use those findings to direct development efforts.
  • Document your work and present it clearly to technical and non-technical partners.

Requirements
  • Bachelor's in Data Science, Statistics, Computer Science, Applied Math, or a related technical field; Master's strongly preferred.
  • 4+ years developing and delivering effective machine learning and/or statistical models to serve real business needs in sports analytics or sports betting.
  • Experience in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
  • Excellent analytical and problem-solving ability, and a demonstrated drive to learn quickly in unfamiliar territory.
  • Experience with Python and relational SQL.
  • Strong foundation with source control (GitHub) and related CI/CD processes.
  • Strong foundation working in AWS environments.
  • Ideal candidates will have experience with Kafka, Docker, and Kubernetes
  • Ability to partner across teams on complex, ambiguous problems and communicate clearly with technical and non-technical audiences.

Base salary: Starting at $150,000 - DOE
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to those outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote