AI Operations Specialist

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $65 - $75 / hour

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

⚙️ Operations

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Maleda Tech

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

Maleda Tech is a global contingent workforce solutions provider offering Employer of Record (EOR) services, Managed Service Provider (MSP) programs, Vendor Management System (VMS) implementation, staff augmentation, recruiting, strategic sourcing, tail spend management, and legal/contract operations. They position themselves as a personalized, boutique partner focused on risk compliance and efficient hiring, with an emphasis on diversity (committed to recruiting at least 85% of employees from diverse backgrounds). The company also runs immersive training and mentorship programs to build candidate pipelines and has operations in the Bay Area (California, US) and Addis Ababa (Ethiopia).

📋 Description

• Prioritize projects by business impact and make the case for worthwhile initiatives • Map current workflows with process owners and define where AI and human intervention should be used • Build AI workflows, write prompts, set up pipelines, maintain quality levels, and monitor post-launch drift • Build test sets, measure accuracy, and calibrate LLM judges against human reviewers • Define launch-readiness criteria for AI features and provide evidence for go/no-go decisions • Turn unclear policy into consistently applicable review criteria with product, legal, and policy partners • Create labeling guidelines and produce human-verified labels on real data • Run labeling at scale with vendor agents and validate work using agreement metrics and spot checks • Document reusable solutions and learnings • Keep methods current as models, tools, and vendor agents change, retiring ineffective methods • Own assigned workstreams end to end, from setup through quality checks

🎯 Requirements

• 5–7 years in operations, program management, analytics, consulting, or applied AI, with accountability for results • Daily AI user who has built something with AI that delivered measurable impact, such as a workflow, automation, or analysis • Comfortable with accuracy, precision, recall, and sampling metrics • Experience making a messy process measurable • Quality experience, such as review guidelines, QA, or audits • Clear writing and ability to work with business leads, product managers, and engineers • Self-directed and comfortable with limited direction • Must be authorized to work in the U.S. without sponsorship • Preferred: hands-on SQL, Python, or API experience • Preferred: trust and safety, content moderation, annotation operations, or other human-in-the-loop work at scale • Preferred: experience fine-tuning models or calibrating LLM judges • Preferred: background in a two-sided marketplace, travel, or another operations-heavy business • Preferred: experience setting up intake and prioritization for a new team

🏖️ Benefits

• Benefits (unspecified)