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Full Time Amazon Jobs in Redmond, OR (NOW HIRING)

Full Time Amazon information

See Redmond, OR salary details

$24.4K

$81.7K

$129.3K

How much do full time amazon jobs pay per year?

As of Aug 26, 2026, the average yearly pay for full time amazon in Redmond, OR is $81,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $101,700.00 per year, depending on experience, location, and employer.

What are full time Amazon jobs?

Full Time Amazon jobs refer to positions at Amazon where employees work a set number of hours per week, typically 40, and receive a comprehensive benefits package. These roles can be in a variety of departments, such as warehouse operations, customer service, software development, or corporate positions. Full-time employees at Amazon often receive benefits like health insurance, paid time off, retirement plans, and employee discounts. The work schedule and specific responsibilities depend on the role and location. Full-time jobs at Amazon can offer career growth and stability for those seeking long-term employment.

What skills and qualifications are needed to thrive as a full time Amazon associate?

To thrive as a Full-Time Amazon Warehouse Associate, you need physical stamina, attention to detail, and basic literacy, typically supported by a high school diploma or equivalent. Familiarity with inventory management systems, handheld scanners, and warehouse safety protocols is essential. Strong teamwork, time management, and reliability are valued soft skills in this role. These skills ensure efficient operations, accurate order fulfillment, and a safe working environment in Amazon's fast-paced warehouses.

What challenges do full time Amazon associates face, and how can they be overcome?

Full-time Amazon associates often encounter challenges such as meeting high productivity targets, adapting to fast-paced environments, and managing physically demanding tasks. To overcome these, associates can focus on time management, take advantage of ergonomic training, and utilize support resources provided by Amazon, such as wellness programs and team leads. Building strong communication with supervisors and peers can also help address concerns and maintain a positive work environment.

What is the difference between Full Time Amazon vs Full Time Warehouse Associate?

AspectFull Time AmazonFull Time Warehouse Associate
CredentialsHigh school diploma or equivalent; some roles may require certificationsHigh school diploma or equivalent
Work EnvironmentDistribution centers, fulfillment centers, office settingsWarehouse floors, packing stations, loading docks
Employer & Industry UsageAmazon, e-commerce, logisticsLogistics, retail, distribution centers
Work ScheduleFull-time hours, shifts may varyFull-time shifts, including nights and weekends

Full Time Amazon roles typically involve a variety of positions within Amazon's logistics and office environments, often requiring specific certifications for specialized roles. Full Time Warehouse Associates focus on packing, sorting, and shipping items within Amazon's fulfillment centers. Both roles are essential to Amazon's operations, but they differ mainly in job functions and work settings.

Does full time Amazon hire full-time employees?

Yes, Amazon hires full-time employees for various roles across its operations, including warehouse, delivery, and corporate positions. Full-time roles typically offer benefits, a set schedule, and require meeting specific qualifications for the position.

What are the most commonly searched types of Amazon jobs in Redmond, OR?

The most popular types of Amazon jobs in Redmond, OR are:

What are popular job titles related to Full Time Amazon jobs in Redmond, OR?

For Full Time Amazon jobs in Redmond, OR, the most frequently searched job titles are:

What cities near Redmond, OR are hiring for Full Time Amazon jobs?

Cities near Redmond, OR with the most Full Time Amazon job openings:

Infographic showing various Full Time Amazon job openings in Redmond, OR as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,745 per year, or $39.3 per hour.

Software Engineer, Data Infrastructure & Acquisition - Bend, OR, USA

Bend, OR

Speechify
51 - 200 employees

$120K - $145K/yr

Full-time

Re-posted 12 days ago


Job description

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You'll Do

  • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
  • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
  • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
  • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products.

An Ideal Candidate Should Have

  • BS/MS/PhD in Computer Science or a related field.
  • 5+ years of industry experience in software development.
  • Proficiency with bash/Python scripting in Linux environments
  • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
  • Experience with web crawlers, large-scale data processing workflows is a plus
  • Ability to handle multiple tasks and adapt to changing priorities.
  • Strong communication skills, both written and verbal.

What we offer

  • A fast-growing environment where you can help shape the company and product.
  • An entrepreneurial-minded team that supports risk, intuition, and hustle.
  • A hands-off management approach so you can focus and do your best work.
  • An opportunity to make a big impact in a transformative industry.
  • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
  • Opportunity to work on a life-changing product that millions of people use.
  • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
  • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you're a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.