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From Home Ai Data Trainer Amazon Jobs (NOW HIRING)

AI Data Engineer

Syracuse, NY · On-site

$89K - $95K/yr

... training, work experience and key competencies; the university's strategic priorities; internal ... Familiarity in deploying AI/ML platforms (Azure AI Foundry, Google Vertex, Amazon Bedrock, OpenAI ...

The Market Trainer must possess an internal passion for home theater product and be an evangelist ... from consumers and store associates to help impact product, feature, and channel marketing ...

AZ · On-site

The Market Trainer must possess an internal passion for home theater product and be an evangelist ... from consumers and store associates to help impact product, feature, and channel marketing ...

AI Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Automate the training and deployment of AI/ML models into production via APIs and microservices. * Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify ...

AI & Data Architect

New York, NY · On-site

$69.75 - $89.75/hr

... from architecture through execution. In-Office Requirement: 4 days per week AI-Ready Data ... training; licenses and/or certifications. The anticipated base salary range for this role is $200 ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... AI-powered agents and data-driven solutions that solve real-world operational problems at Amazon ... from the field and translating them into intelligent, data-backed automation that supports ...

Practice Manager - AI & Data

Troy, MI · On-site

$160K - $190K/yr

... life-from advancing space exploration and life-saving medical devices to building autonomous ... Training and competency development * Provide line management and leadership to members of the ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... AI-powered agents and data-driven solutions that solve real-world operational problems at Amazon ... from the field and translating them into intelligent, data-backed automation that supports ...

SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

... AI-powered agents and data-driven solutions that solve real-world operational problems at Amazon ... from the field and translating them into intelligent, data-backed automation that supports ...

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for hybrid work, with up to three days per week from home.

You will design and implement data pipelines that ingest from legal systems, transform data into AI-ready formats, load vector databases and other AI stores, and expose data services through APIs.

AI Data Engineer

Baltimore, MD · Hybrid

$113K - $136K/yr

Rowe Price is seeking an innovative Data AI Engineer to guide the development and deployment of ... Work Flexibility This role is eligible for hybrid work, with up to three days per week from home.

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Troubleshoot data and integration issues with support from senior team members. Trace problems ...

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From Home Ai Data Trainer Amazon information

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How much do from home ai data trainer amazon jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for from home ai data trainer amazon in the United States is $31.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $35.58 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a from home AI data trainer at Amazon?

To thrive as a Work-from-Home AI Data Trainer at Amazon, you typically need strong analytical skills, attention to detail, and a background in data entry or linguistics, often supported by a relevant bachelor’s degree. Familiarity with data labeling tools, cloud-based platforms, and basic spreadsheet software is essential, and experience with annotation systems or Amazon's proprietary tools can be advantageous. Excellent communication, time management, and the ability to follow complex guidelines make a candidate stand out in this remote role. These skills ensure high-quality, accurate data annotation and training, which are critical for developing reliable AI models.

What is the difference between From Home Ai Data Trainer Amazon vs From Home Ai Data Analyst Amazon?

AspectFrom Home Ai Data Trainer AmazonFrom Home Ai Data Analyst Amazon
Primary RoleTraining AI models by labeling and annotating dataAnalyzing data to generate insights and reports
Required SkillsAttention to detail, basic understanding of AI/ML, data labelingData analysis, statistical skills, proficiency in Excel/SQL
Work EnvironmentRemote, flexible hours, task-basedRemote or office, project-based or ongoing analysis
Common CertificationsNone required, but familiarity with AI tools helpfulData analysis certifications (e.g., Microsoft, Google) beneficial

While both roles are remote and involve working with data, From Home Ai Data Trainers focus on preparing and labeling data to train AI models, whereas From Home Ai Data Analysts interpret data to support business decisions. Understanding these differences helps job seekers find the right fit based on skills and interests.

What is a from home AI data trainer at Amazon?

A From Home AI Data Trainer at Amazon is responsible for helping improve artificial intelligence systems by labeling, annotating, and evaluating data from home. These trainers work remotely to provide feedback on AI outputs, such as reviewing machine-generated responses or categorizing data, to enhance the performance of Amazon's AI technologies. The role typically involves following specific guidelines and using proprietary tools to ensure data accuracy and quality. It is suitable for individuals seeking flexible, remote work with the opportunity to contribute to AI development.

How does a from home AI data trainer at Amazon typically collaborate with other team members while working remotely?

As a From Home AI Data Trainer at Amazon, collaboration with team members often takes place through digital channels such as video meetings, chat platforms, and project management tools. You will regularly communicate with machine learning engineers, data scientists, and project managers to clarify data labeling guidelines, discuss feedback, and ensure the quality of training datasets. The remote environment emphasizes clear written communication and proactive participation in virtual team discussions. Building strong relationships with colleagues and promptly addressing questions or concerns helps keep projects on track and ensures consistent data quality.
More about From Home Ai Data Trainer Amazon jobs
What cities are hiring for From Home Ai Data Trainer Amazon jobs? Cities with the most From Home Ai Data Trainer Amazon job openings:
What are the most commonly searched types of Ai Data Trainer Amazon jobs? The most popular types of Ai Data Trainer Amazon jobs are:
What states have the most From Home Ai Data Trainer Amazon jobs? States with the most job openings for From Home Ai Data Trainer Amazon jobs include:
Infographic showing various From Home Ai Data Trainer Amazon job openings in the United States as of August 2026, with employment types broken down into 2% Internship, 79% Full Time, 8% Part Time, and 11% Contract. Highlights an 65% In-person, 2% Hybrid, and 33% Remote job distribution, with an average salary of $64,984 per year, or $31.2 per hour.

$89K - $95K/yr

Full-time

Posted 16 days ago


Job description

Posting Details
Posting Details
Job #
042947
Department Code
20701-9701
Department
Information Technology Services
Job Title
AI Data Engineer
Location
Syracuse, NY
Campus
Syracuse, NY
Commitment to On-Campus Experience
Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work arrangements are limited in accordance with University policy.
Pay Range
$89,000 - $95,000
Pay Determination
Pay rates at Syracuse University are based on a combination of factors including, but not limited to, the job responsibilities; the candidate's education, training, work experience and key competencies; the university's strategic priorities; internal peer equity; applicable federal, state, local laws, grant funding and contractual requisites; and external market analyses.
Staff Level
S5
FLSA Status
Exempt
Hours
Standard University business hours
8:30am - 5:00pm (academic year)
8:00am - 4:30pm (summer)
Hours may vary based on operational needs.
Job Type
Full-time
Unionized Position Code
Not Applicable
Job Description
The AI Data Engineer leverages AI-assisted tools (e.g., code generation, chat-style assistants, agentic workflows) to accelerate pipeline development, documentation, and problem-solving that transforms structured and unstructured data into enterprise-ready assets to power AI and analytics solutions. Built on Microsoft Fabric, Syracuse University's standard data and analytics platform, this role bridges raw data sources with generative AI applications across OneLake, ensuring data quality, compliance, and scalability. Joining an established Enterprise Data & AI team already building in Fabric, the AI Data Engineer serves as a key technical contributor to large-scale, university-wide initiatives, both current and emerging, that advance institutional strategy. At times, the incumbent may be dedicated to specific, university initiatives or partner units based on institutional priorities and cross-departmental projects.
Education and Experience
  • Bachelor's degree in Artificial Intelligence, Computer Science, Data Science, or related field, or equivalent combination of education and experience.
  • 4+ years of experience in data engineering, AI/ML integration, or enterprise IT.
  • Experience in a higher education IT environment preferred.

Skills and Knowledge
  • Expertise in data wrangling for structured and unstructured data.
  • Proficiency in SQL and at least one programming language (Python, Java, or C#).
  • Experience with Microsoft Fabric (OneLake, Data Factory, Real-Time Intelligence, Fabric IQ, notebooks) and comparable data platforms
  • Proficiency with Power BI and semantic modeling (data modeling, relationships, DAX, and OneLake-integrated semantic models) to enable trusted self-service analytics.
  • Familiarity with API development, microservices, and Model Context Protocol (MCP) integrations.
  • Experience with cloud infrastructure (Azure, AWS, GCP), containerization (Docker, Kubernetes), and serverless platforms (e.g., Logic Apps).
  • Familiarity in deploying AI/ML platforms (Azure AI Foundry, Google Vertex, Amazon Bedrock, OpenAI, etc.).
  • Demonstrated familiarity using generative AI tools to improve personal and team productivity.
  • Understanding of data governance, privacy, and ethical AI principles.
  • Strong problem-solving, analytical, and collaboration skills.
  • Excellent written and verbal communication skills, including the ability to translate complex technical concepts for non-technical audiences and to deliver presentations, demonstrations, and briefings to campus stakeholders and leadership.

Responsibilities
Data Engineering & Pipeline Development
Design and implement scalable pipelines that ingest, clean, transform, and aggregate data from diverse sources (ERP, LMS, research systems, APIs, and external datasets) into formats optimized for AI and analytics. Ensure data quality, integrity, and reproducibility through robust engineering practices.
Integration & Platform SupportBuild connectors, workflows, and APIs to unify and operationalize data across cloud and on-premises platforms. Support deployment and lifecycle management of AI/ML models, ensuring seamless integration with enterprise applications.
Governance, Security & ComplianceMaintain metadata, lineage, and documentation to support transparency and auditability. Ensure adherence to Syracuse University's ISF, FERPA, HIPAA, and other regulatory requirements, while applying ethical AI and data governance principles.
Collaboration & Stakeholder EngagementGather and translate requirements from academic and administrative units to deliver tailored solutions aligned with institutional priorities. Represent AI/ML teams in cross-campus meetings, working groups, and governance bodies. Deliver presentations and demonstrations to technical and non-technical audiences.
Innovation & MentorshipProvide technical mentorship on data engineering and integration best practices. Anticipate and scale for future institutional needs (e.g., MCP, serverless, containerization, and generative AI) to drive innovation in data and AI adoption.
Physical Requirements
Not Applicable
Tools/Equipment
Not Applicable
Application Instructions
In addition to completing an online application, please attach a resume and cover letter.
About Syracuse University
Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience.
The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University's 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. For more information, please visit http://www.syracuse.edu.
About the Syracuse area
Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal.
EEO Statement
Syracuse University is an equal-opportunity institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities.
Commitment to Supporting and Hiring Veterans
Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University's contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members.
Commitment to a Respectful and Welcoming Community
Syracuse University fosters a welcoming learning environment where students, faculty, administrators, staff, curriculum, social activities, governance, and all aspects of campus life reflect a broad range of perspectives and experiences. The University community values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to engage with and appreciate the richness of backgrounds, beliefs, and experiences that shape our society. To achieve this, we strive to cultivate a community that respects and encourages open dialogue, understanding, and mutual respect.
Quick Link
https://www.sujobopps.com/postings/113882
Job Posting Date
07/23/2026
Application Deadline
Full Consideration By
Job Category
Staff
Message to Applicants