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Remote Amazon Encoder 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 ... Amazon Bedrock * Strong Python programming skills. * Experience building distributed ML systems and ...

Senior AI Data Engineer

San Diego, CA · On-site +1

$112K - $152K/yr

Senior AI Data Engineer (Full-time) Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA ... Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema ...

Remote Amazon Encoder information

What are Remote Amazon Encoders?

Remote Amazon Encoders are professionals who work from home or other remote locations to process, organize, and input data for Amazon’s various platforms. Their tasks often include encoding product information, updating listings, ensuring data accuracy, and maintaining inventory records. These positions may require strong attention to detail, proficiency with computers, and the ability to follow specific guidelines set by Amazon. Remote Amazon Encoders play a crucial role in keeping product information up-to-date and accessible for customers.

Is Amazon really hiring remote workers?

Amazon regularly offers remote job opportunities, including roles like remote Amazon encoder positions, which often require skills in data entry, content management, or coding. These positions are available across various regions and typically involve flexible schedules and online work environments.

What are some common challenges faced by Remote Amazon Encoders, and how can they be addressed?

Remote Amazon Encoders often encounter challenges such as maintaining accuracy while processing large volumes of product data and meeting tight deadlines. Working remotely can also make communication and collaboration with team members more difficult. To address these issues, it's important to develop strong organizational skills, utilize Amazon's internal communication tools effectively, and stay updated on best practices and policy changes. Regular feedback sessions and proactive engagement with your team can also help ensure quality and consistency in your work.

What is the difference between Remote Amazon Encoder vs Remote Captioner?

AspectRemote Amazon EncoderRemote Captioner
Required CredentialsBasic video encoding skills, familiarity with Amazon platformCaptioning certifications or experience, good language skills
Work EnvironmentRemote, primarily working with Amazon video contentRemote, working with various media files for accessibility
Industry UsageAmazon Prime Video, streaming servicesBroadcast, media, education, accessibility services
Common Search/ComparisonYesYes

Remote Amazon Encoders focus on preparing and encoding video content specifically for Amazon platforms, requiring technical skills in video formatting. Remote Captioners create subtitles and captions for various media, emphasizing language and accessibility skills. While both roles are remote and involve media, they serve different functions within the video production process.

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

To thrive as a Remote Amazon Encoder, you generally need strong attention to detail, fast and accurate typing skills, and familiarity with data entry procedures, often supported by a high school diploma or equivalent. Experience with Amazon-specific platforms, spreadsheets, and data management systems is typically required, and proficiency with data entry software such as Microsoft Excel is advantageous. Exceptional organizational skills, self-motivation, and the ability to work independently are important soft skills for this remote position. These competencies ensure accurate product data management and efficient workflow, which are critical for maintaining Amazon’s marketplace standards.
What are the most commonly searched types of Amazon Encoder jobs in California? The most popular types of Amazon Encoder jobs in California are:
What job categories do people searching Remote Amazon Encoder jobs in California look for? The top searched job categories for Remote Amazon Encoder jobs in California are:
What cities in California are hiring for Remote Amazon Encoder jobs? Cities in California with the most Remote Amazon Encoder job openings:
Sr. Data Scientist

Sr. Data Scientist

6sense

San Francisco, CA • Remote

$162K - $238K/yr

Other

Medical, Life, Retirement, PTO

Posted 4 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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