Rlhf and Tensorflow frequently appear together in AI job postings, with 27 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $258K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Rlhf and Tensorflow appear together in 27 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring Rlhf + Tensorflow
AI/ML Engineer23 jobs
Data Scientist2 jobs
Research Engineer1 jobs
AI Software Engineer1 jobs
Career Impact
Professionals who combine Rlhf and Tensorflow earn a median salary ceiling of
$258K, compared to $256K for Rlhf alone and
$223K for Tensorflow alone. This 8% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 27 positions require both Rlhf and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Rlhf and Tensorflow pay an average of $166K to $258K based on 19 postings with disclosed compensation.
Jobs requiring both Rlhf and Tensorflow pay $258K on average (max), compared to $256K for Rlhf alone and $223K for Tensorflow alone. That represents a 8% premium for having both skills.
The most common roles requiring both Rlhf and Tensorflow are: AI/ML Engineer, Data Scientist, Research Engineer, AI Software Engineer. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 27 job postings that list both Rlhf and Tensorflow
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
