Live market evidence
Machine Learning Contract Job Market
Current contract machine-learning engineering demand, pay, technologies, engagement mix, sources, and hiring velocity from Radar's normalized live inventory.
Updated November 12, 2026 from persisted Radar inventory.
Find my Machine Learning matches →Current opportunities
7,176
New · 24h
220
New · 7d
1,277
Sources represented
11
Compensation evidence
Current stated hourly rates
Based on 344 current listings with structured USD hourly evidence. This is observed listing data, not a salary estimate or guarantee.
- 25th percentile
- $50/hr
- Median
- $63/hr
- 75th percentile
- $75/hr
What is in this market
Contract types
- W2 Contract6,863
- 1099635
- C2c70
Top sources
- LinkedIn5,568
- Dice1,185
- Upwork159
- Indeed142
- FreelancerMap53
- Freelancer34
Relevant specialties
- Artificial Intelligence4,729
- Machine Learning2,124
- Agentic Ai458
- Generative Ai342
- Cloud190
- Large Language Models176
Seniority
- Senior3,093
- Staff275
- Lead223
- Principal206
- Mid122
- Intern67
Remote mix
- Unknown5,787
- Onsite Or Hybrid833
- Remote556
Work arrangements
- Contract Duration231
- Ongoing Contract206
- Fixed Project100
- Freelance Ad Hoc2
Current examples
A bounded preview of current persisted jobs. Open a result for normalized facts or use RadarJobs for the full live set.
AI Engineer - Agent Vibe Coding
1099 · Remote
SAP AI Forward Deployment Engineer
1099 · Remote
Agentic AI Architect
W2 Contract · Remote
INTEGRATION ARCHITECT L1(CONTRACT)
W2 Contract · Louisville, KY
Onsite Full Stack AI Engineer
W2 Contract · Newport Beach, California, USA
Consulting AI Developer
W2 Contract · Reston, VA
AI Engineer - GTM
W2 Contract · New York, NY
Machine Learning / Data Science Engineer
W2 Contract · Philadelphia, PA
Machine Learning Engineer III
W2 Contract · Cincinnati, OH
Machine Learning Engineer Graduate (TikTok Trust and Safety) - 2027 Start
W2 Contract · Seattle, WA
Forward Deployed Engineer (AI Systems)
W2 Contract · San Francisco Bay Area
AI Scientist
W2 Contract · United States
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Methodology
Current live, classified Machine Learning opportunities with a 1099, C2C, or W-2 contract engagement in Radar's normalized inventory.
Global current inventory; location and remote status are reported as observed, including unknown values rather than inferring them.
Current counts use Radar liveness; new counts use the first-seen timestamp over rolling 24-hour and seven-day windows.
Compensation includes only structured USD hourly evidence. Ranges use the midpoint; single stated bounds use that bound. Statistics require at least 20 observations.
Listings and source classifications can change after the latest verification; observed postings are not a census of all contract work.