These include frontend and backend engineers, AI research scientists, and others from Amazon ... Ability to handle multiple tasks and adapt to changing priorities. * Strong communication skills ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... Ability to handle multiple tasks and adapt to changing priorities. * Strong communication skills ...
These include frontend and backend engineers, AI research scientists, and others from Amazon ... Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
These include frontend and backend engineers, AI research scientists, and others from Amazon ... Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
... Amazon. We are revolutionizing the apparel industry with our best-in-class customer experience ... You are a self-starter who doesn't wait for a task list. You see the 'open space' on the floor and ...
... Amazon. We are revolutionizing the apparel industry with our best-in-class customer experience ... You are a self-starter who doesn't wait for a task list. You see the 'open space' on the floor and ...
Amazon Task information
What is the difference between Amazon Task vs Amazon Associate?
| Aspect | Amazon Task | Amazon Associate |
|---|---|---|
| Primary Role | Completing specific tasks or micro-jobs assigned by Amazon or third-party platforms | Promoting Amazon products and earning commissions through referrals |
| Required Credentials | None or minimal; basic computer skills often sufficient | None required; marketing skills beneficial |
| Work Environment | Remote, flexible, task-based | Remote, marketing-focused |
| Common Usage | Micro-task platforms, Amazon Mechanical Turk | Amazon 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 Kitchener, ON? For Amazon Task jobs in Kitchener, ON, the most frequently searched job titles are:
What job categories do people searching Amazon Task jobs in Kitchener, ON look for? The top searched job categories for Amazon Task jobs in Kitchener, ON are:
What cities near Kitchener, ON are hiring for Amazon Task jobs? Cities near Kitchener, ON with the most Amazon Task job openings:
Full-time
Re-posted 17 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.
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.