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Median AI staff pay hits $223,000, remote work boosts hourly rate
Median listed pay for a 'member of technical staff' in artificial intelligence (AI) reached $223,000 this year, according to job listing data analyzed by [Axios' reporting on LinkedIn data](https://www.axios.com/2024/03/12/women-ai-jobs). This compensation figure, while specific to a niche role within the AI sector, offers a tangible point of reference for evaluating the financial impact of remote work on high-paying technical professions.
The $223,000 median salary, when combined with varied commute times, significantly alters the effective hourly wage for these roles. Eliminating a daily commute of 30 minutes each way, for example, increases the effective hourly rate by 5.9%, from $109.31 to $116.15.
This calculation accounts for the time spent commuting as unpaid work, thereby reducing the actual hourly compensation. Our analysis, which incorporates the $223,000 median pay, illustrates how commute duration affects the real value of a salary. The table below details these changes, showing that a worker with no commute effectively earns $116.15 per hour over 1,920 annual hours, whereas a 90-minute daily commute brings that down to $97.81 per hour over 2,280 annual hours, representing a 15.8% reduction.
| Daily commute | Hours a year | Effective hourly rate | Change |
|---|---|---|---|
| None | 1,920 | $116.15 | — |
| 30 min | 2,040 | $109.31 | -5.9% |
| 60 min | 2,160 | $103.24 | -11.1% |
| 90 min | 2,280 | $97.81 | -15.8% |
The Impact of Commute Time on Earnings
The data from job listings for 'member of technical staff' roles in AI highlights a substantial median salary. For individuals in such positions, the time spent traveling to and from a physical office directly diminishes the effective hourly value of their compensation. The choice between a fully remote position and one requiring daily office presence can therefore have a measurable financial consequence.
Our computed table, based on the $223,000 median pay, quantifies this. An individual with a 60-minute daily commute (30 minutes each way) works an additional 240 hours annually compared to a remote worker. This translates to an effective hourly rate of $103.24, an 11.1% decrease from the fully remote equivalent.
AI Roles and Compensation Disparities
The 'member of technical staff' role is a technical position common in AI labs, blending advanced research with full-stack engineering. While the median pay is substantial, it is noteworthy that 82% of new hires for these roles in 2025 were men. This contrasts with the data annotator role, which has a median pay of $51,000 and is roughly split 50/50 between men and women.
This trend underscores a broader pattern within the AI sector, where the highest-paying technical roles tend to have a higher proportion of male employees. This disparity, as reported by Axios, contributes to a widening divide in economic mobility and leadership opportunities within the AI economy.
What this means for you
For individuals considering a role with a $223,000 salary, or any high-paying position, understanding the hidden cost of a commute is essential. Our analysis demonstrates that a seemingly minor daily commute can accumulate into hundreds of unpaid hours annually, significantly reducing your actual hourly wage.
When evaluating job offers, particularly in a competitive field like AI, factoring in commute time provides a more accurate picture of the total compensation. A remote position, or one with a minimal commute, can offer a higher effective hourly rate even if the stated salary is identical to an in-office role.
This perspective is crucial for those looking to maximize their earnings and time. It directly relates to how we assess remote work opportunities and the financial implications of return-to-office mandates.
Beyond the Commute: What the Figure Does Not Change
While the $223,000 median pay highlights significant earning potential in specific AI roles, this figure alone does not address the broader economic landscape or individual financial planning complexities. It does not account for variations in cost of living across different geographies, which can drastically alter the purchasing power of a salary.
The figure also does not reflect the entire range of salaries within AI or other technical fields, nor does it factor in benefits packages, equity compensation, or career growth trajectories. Furthermore, it does not mitigate the existing gender disparities in the AI sector; the reported median pay remains consistent regardless of the gender of the individual in the role, even as women are underrepresented in these high-paying positions.
Source: Axios.
Sources
The figure this piece is built on was published by the outlet below and checked against its own copy before we used it. Everything else here is our arithmetic.
How this was made. The figure in the headline was reported by Axios and checked against their own copy before we used it. Every number in the table above is computed by our own calculators on the stated inputs — the same code that runs the tools page — not estimated and not taken from the source. Anything we could not verify is not in the piece. Corrections run dated at the top — how we handle them · editorial policy.