micro1 is actively hiring Post-Production Specialists to help evaluate and improve AI-driven video editing workflows used in advanced creative tools.

Pay: $50-$120 per hour
Location: Remote

If you have experience with Lightworks and professional editing workflows, this is a unique remote opportunity to apply your skills beyond traditional editing.

What you’ll do:

• Review and test editing workflows (timelines, multi-cam, VFX, exports)
• Evaluate AI-assisted editing, color grading, and post-production guidance
• Troubleshoot advanced scenarios and provide structured feedback

micro1 is looking for:

• Strong hands-on experience with Lightworks
• Background in film/video production with advanced workflow knowledge
• Ability to clearly explain processes and issues

Preferred: Experience with broadcast formats, AI tools, or remote collaboration

APPLY HERE - https://jobs.micro1.ai/post-production-specialists-light-house

Best suited for video editors, post-production specialists, film editors, and video producers who want to work on cutting-edge AI tools shaping the future of editing.

Important: micro1 is looking to fill this role urgently due to client demand. If your profile is selected, the hiring team will reach out within a few days.

(Disclosure: Shared as part of the micro1 referral program)

Job Title: Sr. Infrastructure Security Engineer

Job Type: Full-Time

Location: Remote (Global)

About Us:

micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale.

The Role

We’re looking for an infrastructure security engineer who thinks like a builder, not an auditor. You’ll design and evolve the security foundations of a fast-moving, AI-native organization—where the goal isn’t just to reduce risk, but to enable us to move faster safely.

This role sits at the intersection of systems engineering, security research, and applied automation.

What You’ll Do

1. Architect security systems across AWS, GCP, and Azure that scale with rapid product iteration.
2. Build automated guardrails and self-healing infrastructure to eliminate entire classes of vulnerabilities.
3. Design and implement Zero Trust primitives—identity, access, and policy as code—from first principles.
4. Develop Detection-as-Code pipelines, treating detection logic like production systems (versioned, tested, deployable).
5. Explore and deploy AI-native approaches to threat modeling, anomaly detection, and incident response.
6. Partner closely with engineering and research teams to embed security into the development lifecycle.
7. Write clearly and think clearly—security decisions should be legible, reviewable, and composable.
8. Continuously rethink assumptions and evolve our security posture as new threats and paradigms emerge.

What We’re Looking For

1. Deep experience securing distributed, multi-cloud systems (AWS, GCP, Azure).
2. Strong programming ability (Python, Go, Rust, or similar) with a bias toward automation and systems thinking.
3. Experience with Infrastructure as Code (Terraform, Pulumi, etc.) and integrating security into CI/CD pipelines.
4. Strong understanding of identity systems, least privilege, and Zero Trust architectures.
5. Familiarity with modern detection ecosystems (e.g., Sigma, Panther, GuardDuty, SCC) and signal quality challenges.
6. A mindset that treats security as an engineering and systems problem—not compliance.
7. Comfort working in a highly asynchronous, writing-heavy, and fast-paced environment.

Nice to Have

1. Experience securing Kubernetes and containerized workloads at scale.
2. Contributions to open-source security tools or research.
3. Experience applying or experimenting with AI/ML in security contexts.
4. Strong opinions about how security should evolve in an AI-first world.

Application Process

• Apply here: Sr. Infrastructure Security Engineer
• Submit your resume highlighting relevant experience
• Complete the required interviews and assessments

Mercor is hiring AI Red Teamers for a remote contract role focused on adversarial testing of AI systems and on identifying model vulnerabilities.

Pay: $55 per hour
Type: Contract (Full-time and Part-time available)
Location: Remote (USA and Europe only)
Language: Native-level English & German required

Role overview:
Test AI models using adversarial prompts, identify vulnerabilities, annotate failures, classify risks, follow testing frameworks, and create structured reports for AI safety evaluation.

Requirements:
Prior red teaming, cybersecurity, or adversarial AI experience, strong analytical skills, ability to follow structured guidelines, clear communication, and fluency in English and German.

Preferred experience:
Adversarial ML, prompt injection, jailbreak testing, penetration testing, exploit analysis, AI safety, abuse or misinformation testing, or conversational AI evaluation.

Work details:
Text-based work may include handling sensitive topics, following provided guidelines, and working on an ongoing project with flexible hours.

APPLY NOW - https://t.mercor.com/6zttB

Ideal for Security researchers, AI testers, red teamers, or analysts who enjoy breaking systems, finding edge cases, and working on AI safety or adversarial evaluation projects.

(Disclosure: Shared as part of Mercor's referral program)