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Amazon Task Jobs in Kettering, OH (NOW HIRING)

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Amazon Task information

See Kettering, OH salary details

$20.5K

$68.7K

$108.7K

How much do amazon task jobs pay per year?

As of Aug 8, 2026, the average yearly pay for amazon task in Kettering, OH is $68,736.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,700.00 and $85,600.00 per year, depending on experience, location, and employer.

What is the difference between Amazon Task vs Amazon Associate?

AspectAmazon TaskAmazon Associate
Primary RoleCompleting specific tasks or micro-jobs assigned by Amazon or third-party platformsPromoting Amazon products and earning commissions through referrals
Required CredentialsNone or minimal; basic computer skills often sufficientNone required; marketing skills beneficial
Work EnvironmentRemote, flexible, task-basedRemote, marketing-focused
Common UsageMicro-task platforms, Amazon Mechanical TurkAmazon Associates program for affiliate marketing

Amazon Task involves completing specific micro-jobs or tasks, often on platforms like Mechanical Turk, requiring minimal credentials. Amazon Associate focuses on promoting products via affiliate links to earn commissions. While both are Amazon-related roles, Amazon Task emphasizes task completion, whereas Amazon Associate centers on marketing and referrals.

What are some common challenges faced by individuals working on Amazon Mechanical Turk (MTurk) tasks, and how can they be addressed?

One common challenge for Amazon MTurk workers is finding high-quality, well-paying tasks among a large volume of low-paying or repetitive microtasks. Workers may also encounter unclear task instructions or inconsistent requester feedback. To address these challenges, it's helpful to use tools and online communities that rate requesters and tasks, allowing you to focus on reputable gigs. Additionally, developing efficient workflows and regularly updating your skills can help you qualify for more complex, better-compensated tasks over time.

What are the key skills and qualifications needed to thrive as an Amazon Warehouse Associate, and why are they important?

To thrive as an Amazon Warehouse Associate, you need strong organizational skills, attention to detail, and physical stamina, often requiring a high school diploma or equivalent. Familiarity with handheld scanners, warehouse management systems, and sometimes forklift certification are typically needed. Dependability, teamwork, and a positive attitude help individuals excel in a fast-paced environment. These skills and qualities ensure efficient order fulfillment, workplace safety, and consistent achievement of productivity goals.

What is an Amazon task?

Amazon Tasks refer to small jobs or assignments that individuals can complete for Amazon, often through platforms like Amazon Mechanical Turk (MTurk). These tasks can include data entry, surveys, content moderation, product categorization, or other microtasks that help Amazon improve its services and products. Workers are typically paid per task, and the work is usually flexible, allowing individuals to choose tasks that fit their skills and schedule. Completing Amazon Tasks can be a way to earn supplemental income from home but may require attention to detail and meeting specific quality standards.
What are popular job titles related to Amazon Task jobs in Kettering, OH? For Amazon Task jobs in Kettering, OH, the most frequently searched job titles are:
What cities near Kettering, OH are hiring for Amazon Task jobs? Cities near Kettering, OH with the most Amazon Task job openings:
Infographic showing various Amazon Task job openings in Kettering, OH as of June 2026, with employment types broken down into 5% As Needed, 77% Full Time, 14% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $68,736 per year, or $33 per hour.

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

Deloitte

Dayton, OH • On-site

Full-time

Re-posted 14 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

45th of 150 rated financial services


Job description

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced AI and Data Science Engineer III professionals ready to drive the development of our next-generation GenAI solutions.

Recruiting for this role ends on August 10th 2026.

Work you'll do

As an AI and Data Science Engineer III on the Strategic Analytics team, you will be responsible for

  • Designing, developing, and deploying artificial intelligence, machine learning, and advanced analytics solutions for business stakeholders
  • Building and maintaining scalable data pipelines, application programming interfaces, and model deployment workflows in cloud environments
  • Partnering with finance, strategy, and operational teams to translate business requirements into technical solutions and actionable insights
  • Supporting the development of generative artificial intelligence use cases, prototypes, and production-ready products aligned to strategic priorities
  • Monitoring solution performance, maintaining technical documentation, and identifying opportunities to improve reliability, efficiency, and adoption

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team
Strategic Analytics is a dynamic part of the Finance Financial Planning and Analysis organization, supporting executive leaders across the firm as well as stakeholders in financial and operational functions. The team combines cloud computing, data science, artificial intelligence, strategic problem-solving, and institutional knowledge to deliver insights that inform critical business decisions and support the firm's growth.

Generative artificial intelligence is a key strategic priority for the team, with a strong focus on developing products and solutions that can create value across the organization and for clients. In this role, the selected candidate will contribute directly to high-impact initiatives that advance innovation and business transformation.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Finance, or a related field
  • 4+ years of experience in data science, machine learning engineering, data engineering, or software engineering
  • 3+ years of experience developing solutions using Python
  • 2+ years of experience working with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • 2+ years of experience using Structured Query Language and working with relational or distributed data platforms
  • Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field
  • Experience developing generative artificial intelligence or large language model solutions
  • Experience with machine learning operations tooling and model deployment frameworks
  • Experience building application programming interfaces or production data products
  • Experience supporting finance, financial planning and analysis, or enterprise strategy use cases
  • Experience with data visualization tools such as Tableau or Power BI

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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