2

Part Time Amazon Data Annotation Jobs (NOW HIRING)

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

AI Tutor - Polish

Charleston, WV

$15.75 - $20.25/hr

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Experience working with speech/audio datasets, annotation workflows, or AI training data, including ... Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Experience with designing, developing, deploying, or testing in Amazon Web Services (AWS ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Part Time Amazon Data Annotation information

Is it hard to get hired for data annotation?

Getting hired for a part-time Amazon data annotation role generally requires basic computer skills, attention to detail, and the ability to follow instructions. The application process is often straightforward, with some roles requiring a simple skills test or training, making it accessible for many applicants. Competition can vary depending on demand and the company's hiring needs.

What are the key skills and qualifications needed to thrive as a Part Time Amazon Data Annotation specialist, and why are they important?

To thrive as a Part Time Amazon Data Annotation specialist, you need strong attention to detail, basic computer literacy, and the ability to accurately interpret and label data according to specific guidelines. Familiarity with data annotation platforms, spreadsheets, and Amazon's proprietary tools is typically required, though formal certifications are not always necessary. Strong organizational skills, reliability, and the ability to work independently are important soft skills that help ensure consistent and high-quality results. These skills are crucial for maintaining data integrity, supporting machine learning development, and ensuring project timelines are met.

What is a Part Time Amazon Data Annotation job?

A Part Time Amazon Data Annotation job involves labeling, tagging, or categorizing data such as images, text, audio, or video to help improve Amazon’s machine learning models and artificial intelligence systems. Data annotators play a critical role in ensuring that the data used to train these systems is accurate and relevant. Part-time roles typically offer flexible hours, allowing employees to work remotely or on-site depending on the project. Responsibilities may include reviewing and correcting data, following detailed guidelines, and maintaining high attention to detail to ensure data quality.

What is the difference between Part Time Amazon Data Annotation vs Part Time Amazon Product Listing?

AspectPart Time Amazon Data AnnotationPart Time Amazon Product Listing
Required SkillsData labeling, attention to detail, basic computer skillsProduct description writing, keyword optimization, basic image editing
Work EnvironmentRemote, computer-basedRemote or on-site, computer-based
Employer & Industry UsageAmazon, data annotation servicesAmazon, e-commerce retail
Common Search & Comparison IntentUnderstanding data annotation roles on AmazonUnderstanding product listing tasks on Amazon

Part Time Amazon Data Annotation involves labeling and categorizing data to improve AI models, requiring attention to detail and basic tech skills. In contrast, Part Time Amazon Product Listing focuses on creating and optimizing product descriptions and images for listings. Both roles are remote, often employed by Amazon or third-party service providers, but serve different functions within the e-commerce ecosystem.

Is data annotation a good side hustle?

Part time Amazon data annotation involves labeling data to improve machine learning models and can be a flexible side job. It typically requires attention to detail and basic computer skills, with tasks often completed remotely and on a flexible schedule. However, pay rates vary and may not provide a substantial income as a primary source.

What does Amazon pay for part-time employees?

Amazon pays part-time data annotation workers typically between $12 and $15 per hour, depending on location and experience. Compensation may also include bonuses or incentives, and the role often requires basic computer skills and attention to detail.

What are the typical daily tasks and collaboration methods for a part-time Amazon data annotation role?

In a part-time Amazon data annotation position, your daily tasks usually involve labeling and categorizing data such as images, text, or audio to help improve machine learning models. You will work independently using annotation tools, following detailed guidelines provided by Amazon to ensure accuracy and consistency. While the work is primarily individual, you may collaborate with team leads or quality reviewers through online platforms or periodic meetings to clarify instructions or address challenges. Flexibility and attention to detail are crucial, as well as timely communication to maintain workflow standards.

Does Amazon really pay people to work from home?

Part Time Amazon Data Annotation jobs are legitimate opportunities where workers can earn income remotely. These roles typically involve reviewing and labeling data using online tools and do not require physical presence, making them suitable for remote work arrangements. Payment is usually processed through direct deposit or other standard methods, depending on the employer's policies.
More about Part Time Amazon Data Annotation jobs
What cities are hiring for Part Time Amazon Data Annotation jobs? Cities with the most Part Time Amazon Data Annotation job openings:
What are the most commonly searched types of Amazon Data Annotation jobs? The most popular types of Amazon Data Annotation jobs are:
What states have the most Part Time Amazon Data Annotation jobs? States with the most job openings for Part Time Amazon Data Annotation jobs include:
What job categories do people searching Part Time Amazon Data Annotation jobs look for? The top searched job categories for Part Time Amazon Data Annotation jobs are:

AI Tutor - Russian

xAI

Charleston, WV

Full-time, Part-time

Medical, Retirement

Posted 18 days ago


Job description

ABOUT xAI

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

As an AI Tutor specialized in multilingual audio capabilities, you will contribute to xAI's mission by training and refining Grok to excel in voice interactions, speech recognition, and auditory experiences across diverse languages, accents, and cultural contexts. Your work will focus on curating and annotating high-quality audio data to enhance Grok's global accessibility, enabling natural spoken interactions for users worldwide, bridging language barriers through accurate speech processing, and improving the AI's handling of multilingual audio nuances.

RESPONSIBILITIES:

  • Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
  • Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
  • Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
  • Work with technical staff to improve annotation tools for efficient audio workflows.

BASIC QUALIFICATIONS:

  • Native proficiency in Russian with exposure to diverse accents, dialects, or regional variations.
  • Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
  • Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
  • Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
  • Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
  • Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
  • Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
  • Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
  • Commitment to developing AI that masters sophisticated multilingual audio capabilities.

PREFERRED SKILLS AND EXPERIENCE:

  • Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
  • Deep understanding and taste of what good/useful Audio data is.
  • Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
  • Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
  • Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
  • Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
  • Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
  • Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
  • Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.

LOCATION AND OTHER EXPECTATIONS:

  • Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
  • For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average, most projects may require at least 10 hours per week to deliver effectively, though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
  • Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
  • For US-based candidates, please note that we are unable to hire in Wyoming and Illinois at this time.
  • We are unable to provide visa sponsorship.
  • For those who will be working from a personal device, your computer must be a Chromebook, a Mac with macOS 11.0 or later, or Windows 10 or later.

COMPENSATION AND BENEFITS:

US-based candidates: $35/hour - $45/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location, and jurisdiction. Benefits for eligible U.S.-based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role-specific information will be provided to you during the interview process.

xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.