Technical Recruiter
Ridgefield Park, NJFull-time$140–160K/yrSeen 5 days agoSeen in employer's feed 5 days ago
Most applications go out cold — see where you stand first. No sign-up to start.
You apply on the employer's site, with no Olive account needed.
Watch jobs like this. New roles like this one near Ridgefield Park, NJ, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
Innodata is seeking an experienced Technical Recruiter to support high-volume and specialized technical hiring. The recruiter will build candidate pipelines and partner with hiring managers to fill roles across data science, machine learning, AI, MLOps, data engineering, and software engineering. This full-time, on-site position offers an opportunity to make an immediate impact on critical hiring efforts.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
5 - 20 years
Minimum Education Required
High School Diploma or Equivalent
Compensation
$140,000.00 - $160,000.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Innodata(Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked.Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale.We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
We are seeking an experienced Technical Recruiterto support high-volume and specialized hiring efforts for technical roles across our organization. The ideal candidate has a proven track record of successfully recruitingData Scientists, Machine Learning Engineers, AI Engineers, and other highly technical talentin a fast-paced environment.
This is a full-time position with the opportunity to make an immediate impact by building strong candidate pipelines and partnering closely with hiring managers to fill critical technical roles.
Key Responsibilities
Manage the full-cycle recruitment process from intake through offer acceptance.
Partner with hiring managers to understand technical hiring needs, required skills, and team objectives.
Source, identify, and engage passive candidates using LinkedIn Recruiter,jobboards, networking, and other sourcing tools.
Recruit for highly specialized technical positions, including:
Data Scientists
Machine Learning Engineers
AI Engineers
MLOps Engineers
Data Engineers
Software Engineers (Python, Cloud, AI)
Screen resumes and conduct initial candidate interviews to evaluate technical qualifications, communication skills, and cultural fit.
Coordinate interview schedules and maintain consistent communication with candidates and hiring managers throughout the recruitment process.
Build and maintain talent pipelines for future hiring needs.
Ensure an exceptional candidate experience from first contact through onboarding.
Track recruiting metrics and maintain accurate records in the Applicant Tracking System (ATS).
Stay current on market trends, compensation, and emerging technologies within AI and machine learning.
Required Qualifications
5+ years of full-cycle technical recruiting experience.
Demonstrated success recruitingData Scientists, Machine Learning Engineers, AI Engineers, and other advanced technical professionals.
Strong understanding of technical terminology, AI/ML concepts, cloud technologies, and software engineering roles.
Experience sourcing passive candidates through LinkedIn Recruiter and other recruiting platforms.
Excellent interviewing, communication, and relationship-building skills.
Experience working with Applicant Tracking Systems (ATS).
Ability to manage multiple requisitions simultaneously while meeting hiring deadlines.
Preferred Qualifications
Experience recruiting for startup or high-growth technology companies.
Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
Experience hiring professionals with expertise in Python, SQL, TensorFlow, PyTorch, Spark, Kubernetes, or similar technologies.
Experience recruiting for remote and distributed engineering teams.
The expected salary range for this position is $140,000 - $160,000 USD per year, based on experience, skills, and qualifications.
Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide athttps://consumer.ftc.gov/articles/job-scams.
If you believe you've been targeted by a recruitment scam, please report it to Innodata [email protected] consider reporting it to the FTC atReportFraud.ftc.gov.
Place of Work
On-site
Requisition ID
4470069009
Job Type
Full Time
How this job compares
Set against the 488 open Technical Recruiter jobs on Olive Jobs, counted November 3, 2026.
- Pay
- This posting$140–160K/yr
- US median$120–170K/yr302 salary ranges
This range's midpoint, $150K, is 3% above the US median midpoint ($145K) — in the middle half of Technical Recruiter salary ranges across the US.
- Openings
- Olive Jobs lists 488 open Technical Recruiter jobs across the US. 7% of them nationwide are listed as remote or flexible.
- Hiring the most across the US
- SpaceX32 open
- Anduril27 open
- Anduril Industries22 open
- Experience
- This posting asks for at least 5 years of experience; Technical Recruiter postings that state a minimum ask for 5 years at the median (432 postings).
- Education
- This posting asks for a high school diploma; 58 of the 488 open Technical Recruiter jobs (12%) ask for a high school diploma or higher.
Counted across the open, public US postings on Olive Jobs on November 3, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
Prepare for this role
You've read the whole posting — now see how you match it.
