Remote opportunity at
Invisible TechnologiesContract Technical Recruiter
Invisible Technologies is seeking a Contract Technical Talent Acquisition Partner for a remote contractor position lasting three to six months. Operating in the artificial intelligence sector,…
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About This Role
Invisible Technologies is seeking a Contract Technical Talent Acquisition Partner for a remote contractor position lasting three to six months. Operating in the artificial intelligence sector, the employer builds end-to-end platforms that structure data, automate workflows, and deploy human-in-the-loop agentic solutions for major global enterprises. In this engagement, the recruiter will focus on scaling pipelines for engineers specializing in machine learning, data engineering, and full-stack development. The role suits professionals…
Job Description
Invisible Technologies is seeking a Contract Technical Talent Acquisition Partner for a remote contractor position lasting three to six months. Operating in the artificial intelligence sector, the employer builds end-to-end platforms that structure data, automate workflows, and deploy human-in-the-loop agentic solutions for major global enterprises.
In this engagement, the recruiter will focus on scaling pipelines for engineers specializing in machine learning, data engineering, and full-stack development. The role suits professionals with experience in high-growth technical recruitment who can maintain evergreen talent pools for forward-deployed engineering teams. The position requires roughly 40 hours per week with the possibility of extension depending on business requirements.
Working at Invisible involves operating in a fast-paced environment with a strong emphasis on ownership and adaptability. Qualified professionals will manage the end-to-end hiring journey, partner with internal leadership to establish evaluation frameworks, and ensure that vetted engineering candidates remain engaged and ready for deployment.
Responsibilities
- Build and maintain candidate pipelines for evergreen engineering roles across data engineering, machine learning, and full stack development
- Collaborate with sales, delivery, and engineering leadership to forecast hiring needs based on customer deployments
- Develop and execute outbound sourcing strategies to attract top-tier technical talent
- Establish candidate readiness protocols to ensure pre-vetted engineers can accept offers quickly
- Manage the complete hiring process for a smooth candidate experience
- Use data and insights to optimize sourcing channels, screening processes, and conversion rates
- Design engagement campaigns to keep vetted candidates connected with the employer brand
- Partner with hiring managers to define technical role requirements and assessment frameworks
- Represent the employer brand across technical communities and events
Requirements
- Demonstrated background in full-cycle technical recruiting with a focus on sourcing and hiring engineering talent in data, machine learning, and software development
- Experience building evergreen or just-in-time pipelines in high-growth environments
- Strong stakeholder management skills across sales, product, and engineering organizations
- Proactive and resourceful approach suited for dynamic environments
- Strong communication, prioritization, and project management abilities
- Familiarity with applicant tracking systems like Greenhouse, sourcing tools, and data-driven recruiting strategies
Qualifications
- Prior experience supporting forward deployed or professional services-style teams
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source states that the role is remote and lists the employment type as contract.
What is the expected duration of this contract?
This engagement is slated for 3 to 6 months at approximately 40 hours per week, with potential for extension based on business needs.
What salary is offered for this role?
The posting does not specify a concrete salary, noting that compensation factors include location, experience, skills, and internal pay equity.
What experience is required for this position?
Candidates must have proven experience in full-cycle technical recruiting with expertise in sourcing engineering talent across data, machine learning, and software development, along with strong stakeholder management skills.
Sample Interview Questions
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