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Remote Encoding Jobs in California (NOW HIRING)

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Embeddings * Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... that encode agreed business rules. * Execute migrations end-to-end on the internal migration ...

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Remote Encoding information

What is the difference between Remote Encoding vs Remote Data Entry?

AspectRemote EncodingRemote Data Entry
Primary TasksConverting information into digital formats, such as typing or data inputInputting data into systems, often from physical or digital sources
Required SkillsTyping speed, accuracy, familiarity with encoding softwareAttention to detail, fast typing, basic computer skills
Work EnvironmentHome or remote office, often with specialized softwareHome or remote, typically using standard data entry platforms
Common IndustriesPublishing, transcription, data processingHealthcare, finance, administrative support

Remote Encoding focuses on converting information into digital formats, often requiring specialized software and high accuracy. Remote Data Entry involves inputting data into systems, usually from physical or digital sources, with an emphasis on speed and precision. While both roles are remote and involve data handling, encoding emphasizes data conversion, whereas data entry centers on data input tasks.

What are the key skills and qualifications needed to thrive as a Remote Medical Coder, and why are they important?

To thrive as a Remote Medical Coder, you need strong knowledge of medical terminology, anatomy, and coding systems such as ICD-10-CM, CPT, and HCPCS, usually validated by certification (e.g., CPC, CCS). Familiarity with electronic health record (EHR) systems and specialized coding software is essential for accurate data entry and information retrieval. Attention to detail, self-motivation, and excellent time management are crucial soft skills for managing independent workflows and meeting productivity goals. These skills and qualities ensure precise coding, regulatory compliance, and efficient healthcare reimbursement processes in a remote work environment.

What are some common challenges faced by employees in a remote encoding role, and how can they be addressed?

One of the main challenges in a remote encoding position is maintaining accuracy and attention to detail while working independently. Distractions at home and the repetitive nature of the work can sometimes lead to errors or decreased productivity. To address these issues, it's important to create a dedicated, quiet workspace, set a structured work schedule, and take regular breaks to maintain focus. Many teams also use collaborative tools and regular check-ins to stay connected and ensure data quality standards are met.

What is a remote encoding job?

A remote encoding job typically involves converting information from one format to another, such as transforming handwritten or printed data into digital form. These jobs are often found in industries like healthcare, where remote medical coders or data entry specialists encode patient information for billing and records. Working remotely means these tasks are performed from home or another location, using a computer and secure internet connection. Remote encoding positions require attention to detail, accuracy, and sometimes knowledge of specialized coding systems, depending on the field.
What are the most commonly searched types of Encoding jobs in California? The most popular types of Encoding jobs in California are:
What job categories do people searching Remote Encoding jobs in California look for? The top searched job categories for Remote Encoding jobs in California are:
What cities in California are hiring for Remote Encoding jobs? Cities in California with the most Remote Encoding job openings:
Sr. Data Scientist

Sr. Data Scientist

6sense

San Francisco, CA • Remote

$162K - $238K/yr

Other

Medical, Life, Retirement, PTO

Re-posted 6 days ago


Job description

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

The Opportunity

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.

You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

What You'll Do
  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including:
    • Data exploration
    • Feature engineering
    • Model development
    • Evaluation
    • Deployment
    • Monitoring
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.
What We're Looking ForRequired Qualifications
  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in Machine Learning, Statistics, and Applied Data Science.
  • Experience with:
    • Supervised & Unsupervised Learning
    • Recommendation Systems
    • Ranking Models
    • Predictive Modeling
  • Deep expertise in:
    • NLP
    • Transformers
    • Embeddings
    • Encoder-Decoder Architectures
    • Retrieval-based Systems
  • Hands-on experience with GenAI ecosystems including:
    • LangGraph
    • LangChain
    • Amazon Bedrock
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.
Preferred Qualifications
  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with:
    • RAG Architectures
    • Vector Databases
    • Prompt Engineering
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense's total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense's board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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