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Data Encoder Home Based Jobs in California (NOW HIRING)

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

... based ML * Familiarity with multi modal data integration * Previous work on biological or chemical knowledge graphs * Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc.

Mithrl

Data Scientist, Knowledge Graphs

San Francisco, CA · On-site

$150K - $200K/yr

... based ML * Familiarity with multi modal data integration * Previous work on biological or chemical knowledge graphs * Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc.

6sense

Sr. Data Scientist

San Francisco, CA · On-site

They are seeking a Senior Data Scientist to join their AI and Data Science team, focusing on ... NLP, Transformers, Embeddings, Encoder-Decoder Architectures, Retrieval-based Systems • Hands-on ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems including: * LangGraph * LangChain * Amazon Bedrock * Strong Python programming skills.

6sense

Sr. Data Scientist

San Francisco, CA · On-site

$162K - $238K/yr

Encoder-Decoder Architectures * Retrieval-based Systems * Hands-on experience with GenAI ecosystems ... with your teams, at home or in one of our offices. We have a growth mindset culture that is ...

Tacit

Full-Stack Software Engineer

San Francisco, CA · On-site

$120K - $180K/yr

About Tacit We are an early-stage, deep tech startup based in San Francisco, developing innovative ... C/C++ for targeted native improvements, data encoding/transfer, drivers). * A strong product/design ...

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All JobsData Encoder Home Based JobsData Encoder Home Based Jobs in California

Data Encoder Home Based information

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How much do data encoder home based jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data encoder home based in California is $32.42, according to ZipRecruiter salary data. Most workers in this role earn between $13.89 and $46.37 per hour, depending on experience, location, and employer.

What is a Data Encoder Home Based job?

A Data Encoder Home Based job involves entering, updating, and managing data in digital formats from the comfort of your home. Responsibilities typically include encoding information into databases, verifying data accuracy, and maintaining records. This role requires attention to detail, typing proficiency, and familiarity with data management software. Many companies hire remote data encoders for tasks like processing invoices, transcribing documents, or organizing customer information. It is a great option for those looking for flexible, work-from-home opportunities.

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

To thrive as a Data Encoder Home Based, strong typing skills, attention to detail, and accuracy in data entry are essential, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of ERP software is typically required. Excellent self-motivation, time management, and the ability to work independently make a candidate stand out in this remote position. These skills and qualities ensure high-quality, error-free data processing and efficient workflow in a virtual work environment.

How to make 2000 a week working from home?

A data encoder working from home can increase earnings by taking on multiple projects, working efficiently, and improving skills such as data entry accuracy and speed. Earning $2000 weekly typically requires consistent high-volume work, possibly through freelance platforms or multiple clients, and maintaining a reliable schedule. Building a strong reputation and gaining experience can also lead to higher-paying opportunities in data encoding roles.

What are some common challenges encountered by Data Encoders working from home, and how can they be managed?

Data Encoders working from home often face challenges such as maintaining focus in a home environment, managing large volumes of repetitive tasks, and ensuring data accuracy with minimal supervision. Establishing a dedicated workspace and structured routine can help reduce distractions and maintain productivity. Utilizing productivity tools and setting regular self-checks ensures data quality and helps meet deadlines. Employers typically provide training and support channels, so don’t hesitate to reach out or participate in remote meetings to stay connected with your team.

What is a data encoder work from home?

A data encoder working from home is responsible for inputting, updating, and managing data in computer systems remotely. The role typically requires strong attention to detail, proficiency with data entry tools, and the ability to work independently within a flexible schedule.

What job makes $10,000 a month without a degree?

A data encoder working from home can potentially earn around $10,000 per month with experience, efficiency, and high-volume data entry tasks. Success depends on skill level, the complexity of projects, and the ability to work consistently, often requiring strong attention to detail and familiarity with data management tools.

How much do data encoders typically make?

Data encoders working from home typically earn between $10 and $20 per hour, depending on experience, skill level, and the complexity of the data being processed. Some positions may offer a fixed weekly or monthly salary, especially for full-time roles, while others pay per task or project. Compensation can also vary based on the employer and geographic location, even for remote work.
What are the most commonly searched types of Data Encoder jobs in California? The most popular types of Data Encoder jobs in California are:
What are popular job titles related to Data Encoder Home Based jobs in California? For Data Encoder Home Based jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Encoder Home Based jobs in California look for? The top searched job categories for Data Encoder Home Based jobs in California are:
What cities in California are hiring for Data Encoder Home Based jobs? Cities in California with the most Data Encoder Home Based job openings:
Data Encoder Home Based jobs near you
Infographic showing various Data Encoder Home Based job openings in California as of June 2026, with employment types broken down into 10% Internship, 30% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution, with an average salary of $67,424 per year, or $32.4 per hour.

Data Scientist, Knowledge Graphs

Mithrl

San Francisco, CA • On-site

$150K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 days ago

Job description

ABOUT MITHRL
We imagine a world where new medicines reach patients in months, not years, and where scientific breakthroughs happen at the speed of thought.
Mithrl is building the world's first commercially available AI Co-Scientist. It is a discovery engine that transforms messy biological data into insights in minutes. Scientists ask questions in natural language, and Mithrl responds with real analysis, novel targets, hypotheses, and patent-ready reports.
Our traction speaks for itself:
  • 12X year-over-year revenue growth
  • Trusted by leading biotechs and big pharma across three continents
  • Driving real breakthroughs from target discovery to patient outcomes.

ABOUT THE ROLE
We are hiring a Data Scientist, Knowledge Graphs to build and scale the biological knowledge layer that powers the Mithrl AI Co-Scientist. This role focuses on ingesting and harmonizing the world's most important biological data sources and curating the relationships that allow our system to reason across pathways, targets, diseases, compounds, and multimodal datasets.
You will ingest data from public consortia and well maintained peer reviewed sources and unify them into a coherent, versioned knowledge graph. You will identify new node types, define relationship schemas, harmonize variable IDs, and ensure metadata remains consistent across all integrated sources. You will also build automated curation pipelines that expand and refine the knowledge graph using both data driven methods and domain logic.
Beyond ingestion and curation, you will create the tools and frameworks that allow users to interact with the knowledge graph and even build their own custom graphs based on the results they generate inside Mithrl. Your work will form the foundation for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation inside the AI Co-Scientist.
WHAT YOU WILL DO
  • Ingest, harmonize, and version high value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.
  • Ingest well maintained peer reviewed knowledgebases including OpenTargets, HPA, and similar resources
  • Build automated pipelines to curate and expand relationships inside the knowledge graph
  • Define and evolve schemas for node types, relationships, metadata rules, and ontology alignment
  • Harmonize variable IDs and metadata fields across all imported sources to create a unified knowledge layer
  • Build and maintain versioning, change tracking, and provenance systems for all data and relationships
  • Develop the framework that allows users to build custom knowledge graphs from the analyses they run inside Mithrl
  • Build features that allow users to explore, query, and interact with their graphs
  • Work closely with ML engineers, bioinformatics teams, and discovery application teams to ensure the knowledge graph supports downstream reasoning and analysis
  • Validate the correctness, completeness, and integrity of the knowledge graph across releases

WHAT YOU BRING
Required Qualifications
  • Strong experience in data science, bioinformatics, computational biology, or a related field
  • Experience working with biological knowledgebases, public datasets, or ontology driven systems
  • Familiarity with graph data structures, relationship modeling, and knowledge graph concepts
  • Experience harmonizing heterogeneous biological datasets and mapping variable IDs across sources
  • Proficiency in Python and scientific computing libraries
  • Ability to build ingestion pipelines for structured or semi structured biological data
  • Strong understanding of metadata standards, biological ontologies, and domain logic
  • Ability to translate complex biological information into structured, machine readable representations
  • Excellent communication skills and comfort collaborating across engineering and scientific teams

Nice to Have
  • Experience with graph databases or graph query languages
  • Experience with KG curation, link prediction, relationship extraction, or graph based ML
  • Familiarity with multi modal data integration
  • Previous work on biological or chemical knowledge graphs
  • Experience with public consortia such as ENCODE, GTEx, TCGA, or ChEMBL, etc.
  • Prior experience in a tech bio startup or scientific software environment

WHAT YOU WILL LOVE AT MITHRL
  • You will build the core knowledge layer that the AI Co-Scientist uses to reason about biology
  • Team: Join a tight-knit, talent-dense team of engineers, scientists, and builders
  • Culture: We value consistency, clarity, and hard work. We solve hard problems through focused daily execution
  • Speed: We ship fast (2x/week) and improve continuously based on real user feedback
  • Location: Beautiful SF office with a high-energy, in-person culture
  • Benefits: Comprehensive PPO health coverage through Anthem (medical, dental, and vision) + 401(k) with top-tier plans

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Apply