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Remote Data Extraction Jobs in Toronto, ON (NOW HIRING)

Mercor

AI Safety Expert - Red Team

Toronto, ON · Remote

CA$29 - CA$45/hr

Remote Role Responsibilities * Red team conversational AI models and agents by performing ... Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging ...

EvenUp

Staff Machine Learning Engineer

Toronto, ON · Remote

$212K - $301K/yr

Drive data excellence through hands-on analysis of training and evaluation data, managing noise ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

Spscommerce

Software Engineer

Brampton, ON · On-site +1

CA$83K - CA$125K/yr

Solid understanding of data engineering fundamentals: batch and streaming pipelines, ETL/ELT ... We are also open to remote candidates located anywhere within Canada. What We Offer: At SPS ...

d1g1t

Senior Software Engineer, Integrations

Toronto, ON · On-site +1

CA$120K - CA$140K/yr

Architecting Data Solutions: Lead the design and development of robust, scalable ETL processes ... Remote friendly position with occasional office time as needed. Ability to work abroad for up to 2 ...

THOMSON REUTERS

Lead Research Engineer

Toronto, ON · On-site +1

You will create large scale data processing pipelines to help researchers build and train novel ... remote teams. * Be an Agile Person:With a strong sense of urgency and a desire to work in a fast ...

ALT FUNDS GLOBAL

White Collar Crime Reporter

Toronto, ON · Remote

CA$350 - CA$500/hr

Remote / Flexible Position Type: Full-Time Salary: Competitive Salary & Comprehensive Benefits ... Understanding of how to interpret and analyze financial data and legalese to extract meaningful ...

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All JobsData Extraction JobsRemote Data Extraction JobsRemote Data Extraction Jobs in Toronto, ON

Remote Data Extraction information

What is remote data extraction?

Remote data extraction is the process of retrieving and collecting data from various sources—such as websites, databases, or documents—without being physically present at the source location. This is typically achieved using specialized software, scripts, or tools that can access and gather data over the internet or through remote connections. Professionals in this field often automate data collection tasks to save time and improve accuracy, especially when dealing with large volumes of information. Remote data extraction is commonly used for business intelligence, market research, competitive analysis, and data migration projects.

What are the key skills and qualifications needed to thrive as a remote data extraction specialist?

To thrive as a Remote Data Extraction Specialist, you need proficiency in data analysis, attention to detail, and experience with data extraction and transformation techniques, often supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, Python, web scraping frameworks (like BeautifulSoup or Scrapy), and data management platforms is typically required. Strong problem-solving skills, self-motivation, and effective communication are valuable soft skills for excelling in a remote environment. These abilities ensure accurate data collection, efficient workflow, and reliable delivery of insights for business or research needs.

What are some common challenges faced in a remote data extraction role and how can they be addressed?

One common challenge in remote data extraction is ensuring data accuracy while working independently, especially when dealing with large and diverse datasets. Discrepancies can arise from inconsistent data formats or sources, so developing strong attention to detail and utilizing reliable extraction tools is critical. Another challenge is communication, as collaborating with data analysts or project managers remotely requires proactive updates and clear documentation. To address these issues, it's helpful to establish regular check-ins with your team, use standardized data templates, and stay organized with project management software.

What is the difference between Remote Data Extraction vs Remote Data Entry?

AspectRemote Data ExtractionRemote Data Entry
Primary FocusExtracting data from various sources like websites, PDFs, or imagesInputting data into databases or spreadsheets
Skills RequiredWeb scraping, data analysis, attention to detailTyping speed, accuracy, basic computer skills
Tools UsedWeb scraping software, OCR tools, data management platformsExcel, Google Sheets, data entry software
Work EnvironmentMostly independent, often project-basedConsistent, repetitive tasks

Remote Data Extraction involves retrieving data from various sources, requiring technical skills like web scraping and data analysis. Remote Data Entry focuses on inputting data accurately into systems, emphasizing speed and precision. Both roles are remote-friendly but differ in technical complexity and daily tasks.

What are popular job titles related to Remote Data Extraction jobs in Toronto, ON?

For Remote Data Extraction jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Data Extraction jobs in Toronto, ON look for?

The top searched job categories for Remote Data Extraction jobs in Toronto, ON are:

Remote Data Extraction jobs near you
Infographic showing various Remote Data Extraction job openings in Toronto, ON as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.

AI Safety Expert - Red Team

Mercor

Toronto, ON • Remote

CA$29 - CA$45/hr

Full-time

Re-posted 8 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: AI Safety Experts — English & Portuguese (global)
Type: Contract
Compensation: $29–$45/hour
Location: Remote

Role Responsibilities

  • Red team conversational AI models and agents by performing jailbreaks, prompt injections, misuse cases, and bias exploitation.
  • Generate high-quality human data by annotating failures, classifying vulnerabilities, and flagging systemic risks.
  • Apply structure by following taxonomies, benchmarks, and playbooks to maintain consistent testing.
  • Document reproducibly by producing reports, datasets, and attack cases that customers can act on.
  • Work independently and asynchronously to improve AI model performance and ensure safety.

Qualifications

Must-Have

  • Native fluency in English and Portuguese (global, excluding Brazilian Portuguese).
  • Prior red teaming experience in AI adversarial work, cybersecurity, or socio-technical probing.
  • Strong communication skills to explain risks clearly to technical and non-technical stakeholders.

Preferred

  • Experience in Adversarial ML: jailbreak datasets, prompt injection, RLHF/DPO attacks, model extraction.
  • Cybersecurity skills: penetration testing, exploit development, reverse engineering.
  • Socio-technical risk expertise: harassment/disinfo probing, abuse analysis, conversational AI testing.
  • Creative probing skills: psychology, acting, writing for unconventional adversarial thinking.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.