Hybrid/Remote Human-in-the-Loop Job Trends

Human-in-the-Loop (HITL)
UK > Work from Home

The table below provides summary statistics and salary benchmarking for remote or hybrid work requiring Human-in-the-Loop skills. It covers permanent job vacancies from the 6 months leading up to 30 January 2026, with comparisons to the same periods in the previous two years.

6 months to
30 Jan 2026
Same period 2025 Same period 2024
Rank 374 - -
Rank change year-on-year - - -
Permanent jobs citing Human-in-the-Loop 1 0 0
As % of all permanent jobs with remote/hybrid work options 0.006% - -
As % of the Processes & Methodologies category 0.007% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
UK median annual salary - - £90,000

All Process & Methodology Skills
Work from Home

Human-in-the-Loop falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies with remote or hybrid options requiring process or methodology skills.

Permanent vacancies with a requirement for process or methodology skills 13,702 15,325 24,328
As % of all permanent jobs with a WFH option 86.77% 94.40% 92.93%
Number of salaries quoted 8,707 9,051 20,015
10th Percentile £30,000 £36,250 £35,000
25th Percentile £42,500 £47,500 £43,750
Median annual salary (50th Percentile) £60,000 £62,500 £60,000
Median % change year-on-year -4.00% +4.17% -4.13%
75th Percentile £80,000 £82,500 £77,500
90th Percentile £100,000 £102,500 £96,250
UK median annual salary £55,000 £60,000 £56,500
% change year-on-year -8.33% +6.19% -9.60%

Human-in-the-Loop
Job Vacancy Trend for Remote/Hybrid Jobs

Historical trend showing the proportion of permanent IT job postings citing Human-in-the-Loop and offering remote or hybrid work options relative to all permanent IT jobs advertised.

Human-in-the-Loop job vacancy trend for remote/hybrid jobs

Human-in-the-Loop
Co-Occurring Skills & Capabilities in Remote/Hybrid Jobs by Category

The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:

Cloud Services
1 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) GCP
1 1 (100.00%) Vertex AI
Database & Business Intelligence
1 1 (100.00%) Data Warehouse
1 1 (100.00%) Semantic Layer
Miscellaneous
1 1 (100.00%) Data Structures
1 1 (100.00%) Taxonomies
Processes & Methodologies
1 1 (100.00%) AI
1 1 (100.00%) AI Transformation
1 1 (100.00%) AIOps
1 1 (100.00%) Artificial Intelligence Engineering
1 1 (100.00%) Data Engineering
1 1 (100.00%) Decision Intelligence
1 1 (100.00%) Design Patterns
1 1 (100.00%) Fraud Detection
1 1 (100.00%) LLM
1 1 (100.00%) Multi-Agent System
1 1 (100.00%) Ontologies
1 1 (100.00%) Product Thinking
1 1 (100.00%) Prompt Engineering
1 1 (100.00%) Prototyping
1 1 (100.00%) Rapid Prototyping
1 1 (100.00%) Retrieval-Augmented Generation
1 1 (100.00%) Software Engineering
1 1 (100.00%) Technical Discovery
1 1 (100.00%) Use Case
Programming Languages
1 1 (100.00%) Python
Quality Assurance & Compliance
1 1 (100.00%) GRC
Vendors
1 1 (100.00%) OpenAI