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Remote Data Collection Jobs in Ontario (NOW HIRING)

Moonshot

Intelligence Analyst

Toronto, ON · Remote

... data into clear, actionable analysis for a range of stakeholders. As part of a growing team, you ... This is a remote position. Candidates must be based in Ontario, Canada, due to employment and ...

Clio

Platform Engineer, Databases

Toronto, ON · Remote

CA$119K - CA$161K/yr

We help Clions make data-driven decisions by providing observability and transparency for all of ... A portfolio of successful projects (as well as a collection of lessons learned from failed projects)

eStorage

Cybersecurity Lead

Kitchener, ON · On-site +1

CA$100K - CA$145K/yr

Log collection, analysis, and SIEM integrations * Develop cybersecurity requirements ... Secure remote access solutions * Identity and access management; Encryption and key management ...

Sedgwick

Property Field Adjuster- Windsor, ON

Windsor, ON · On-site +1

CA$90K/yr

Assists with collection of accounts receivables for assigned claims * Assists with local marketing ... Requires a high level of mathematical and reasoning ability to calculate and analyze data to arrive ...

The Aqua Life Swim Academy

Remote Schedule: Sunday-Thursday | 9:00 AM-5:00 PM Thrive in a Fast-Paced, High-Volume Call ... Attention to detail and accurate data entry * Ability to work Sunday-Thursday | 9:00 AM-5:00 PM Why ...

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All JobsData Collection JobsRemote Data Collection JobsRemote Data Collection Jobs in Ontario

Remote Data Collection information

See Ontario salary details

$8

$32

$75

How much do remote data collection jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote data collection in Ontario is $32.52, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $43.75 per hour, depending on experience, location, and employer.

What is remote data collection?

A Remote Data Collection job involves gathering, organizing, and managing data from various sources without needing to be physically present at a specific location. This can include tasks such as conducting surveys, researching online databases, verifying information, or inputting data into digital systems. These roles are common in industries like market research, artificial intelligence training, and business analytics. Strong attention to detail, internet proficiency, and the ability to work independently are key skills for success in this role.

What does a typical workday look like for remote data collection?

A typical day in remote data collection involves gathering, entering, and validating data from various sources such as online surveys, databases, or client submissions. You may collaborate virtually with a team to ensure data accuracy, resolve discrepancies, and report progress. The role often requires managing multiple tasks independently and communicating findings or issues through digital platforms like email or project management tools. While work schedules can often be flexible, meeting deadlines and quality standards is crucial for overall project success.

What are the key skills and qualifications needed to thrive in remote data collection?

To excel in Remote Data Collection, candidates typically need strong analytical abilities, attention to detail, and proficiency in data entry, often supported by experience with spreadsheets or survey software. Familiarity with data management tools such as Microsoft Excel, Google Forms, or specialized data collection platforms is common, and some roles may require training in data privacy or security. Excellent time management, self-motivation, and clear virtual communication enable success in a remote environment. These skills ensure accurate, reliable data collection while maintaining productivity and collaboration from a distance.

What are popular job titles related to Remote Data Collection jobs in Ontario?

For Remote Data Collection jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Remote Data Collection jobs in Ontario look for?

The top searched job categories for Remote Data Collection jobs in Ontario are:

What cities in Ontario are hiring for Remote Data Collection jobs?

Cities in Ontario with the most Remote Data Collection job openings:

Remote Data Collection jobs near you
Infographic showing various Remote Data Collection job openings in Ontario as of August 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,640 per year, or $32.5 per hour.

Software Engineer, Distributed Systems (Core)

Career Renew

Toronto, ON • Remote

$180K - $320K/yr

Full-time

Re-posted 12 days ago

Job description

Career Renew is recruiting for one of its clients a Software Engineer, Distributed Systems (Core) - this is a fully remote role for US/Canada candidates. Salary range: 180-320K USD yearly plus benefits plus equity. Visa sponsorship available.
 

Our mission is to empower everyone to take action on their data. Hundreds of companies, including Autotrader, Calendly, Cars.com, Monday.com, and PetSmart, trust us to power their growth.


We pioneered the Composable Customer Data Platform (CDP), which lets companies use their own data warehouse to collect, prepare, and activate customer data for marketing personalization and business operations. Our new AI Decisioning platform goes a step further, allowing marketers to set goals and guardrails that AI agents can then use to personalize 1:1 customer interactions. Traditionally, only technical teams had the skills to access and use customer data. With us, every business user can deliver personalized customer experiences, optimize performance marketing, and move faster by leveraging data and AI across their organization.

 

We are looking for a distributed systems engineer to work on the systems that power the syncing engine our customers and other engineering teams rely on. This presents an exciting challenge where you can apply your expertise in distributed systems, performance optimization, and troubleshooting to push the boundaries of what is possible and meaningfully improve our ability to move massive amounts of customer data. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base.


We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company.


Some of the problems we’ll be working on include:

  • Sync Speed: Customers want to sync a lot of data to important destinations like Facebook and Snapchat, which requires us to analyze every part of our syncing process and find where we can optimize to sync data more quickly

  • Streaming Syncing: We currently sync data from sources in batch only, but envision a world where we also do syncs in real-time and support streaming sources like webhooks and queues

  • Scalability and Reliability: As part of our rapid growth, we’re always evaluating current future bottlenecks in scaling and reliability, and architecting for the next order of magnitude of growth

  • Personalization API: Our Personalization API product provides a low latency caching layer on top of data warehouses that enable customers to use their data warehouse for real-time personalization use cases with <30ms p90 response times with QPS in the millions

  • Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch our platform in new regions to support data residency requirements of our global customer base

 
Requirements:
 
7+ years of experience as a software engineer with a very high level of general aptitude and work in distributed systems (Mandatory)
Have been part of high velocity startup through high stages of growth, Series B - Series E (i.e Stripe, Kong, Semgrep) (Mandatory)
Staff level minimum with a history of getting promoted quickly at the listed companies. (Mandatory)
Have graduated from a top 30 CS program such as: University of Waterloo, Harvard, Columbia, Princeton, Stanford, UC Berkeley, MIT, CMU, CalTech, Cornell, Duke, Dartmouth, Brown, IITs (Mandatory)
Extremely strong in systems design fundamentals and understanding of how large scale distributed systems behave (Mandatory)
You’ve created event collection or data streaming services that power company critical systems ( work with message queues, Kafka, SQL databases, Kubernetes, Docker) (Mandatory)
You’ve owned systems that have undergone orders of magnitude of growth and helped them scale accordingly (Mandatory)
You’ve built data sync engines that process and move terabytes of data per day in a scalable way (Nice-to-have)
Work close to the infrastructure layer of code, someone who knows how even the tools (i.e. spark, flink, kafka) are built (Nice-to-have)
Extremely strong communication skills, and are a fast learner who is excited to take on the challenges we face (Mandatory)