First seen by our source: 19 days ago
Network Engineer - Data Annotation
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a remote contract Network Engineer for data annotation on autonomous systems, at $50 to $70 per hour for 30 to 40 hours a week. The work involves reviewing real deployed network data such as logs, configs, telemetry and event streams, and labelling behaviours and anomalies to improve AI model performance. Candidates need enterprise network experience and comfort interpreting logs and time-series metrics.
Pay:
$50–$70 an hour
Responsibilities:
- Review real-world network logs, configs, telemetry and event streams
- Label and classify behaviours, issues and anomalies in network data
- Help define schemas and structure for large-scale data pipelines
- Work directly with the client team on data quality and relevance
- Work independently and asynchronously to meet deadlines
Requirements summary:
- Experience as a network engineer, ideally on enterprise networks
- Switches, access points and firewalls experience
- Comfort interpreting logs, events and time-series metrics
- Curiosity about how infrastructure data becomes ML input
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-18
- Source record updated
- 2026-10-18
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | IT |
| Hours per week | 35 |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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: Network Engineer - Data for Autonomous Systems annotation
Type: Contract
Compensation: $50–$70/hour
Location: Remote
Commitment: 30–40 hours/week
Role Responsibilities
- Review real-world data from deployed networks, including logs, configs, telemetry, and event streams.
- Label and classify key behaviors, issues, and anomalies in network data.
- Help define schemas and structure for large-scale data pipelines.
- Interface directly with the client team to ensure data quality and relevance.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.).
- Comfort with interpreting logs, events, and time-series metrics.
- Curiosity about how raw infrastructure data becomes machine learning input.
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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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