Everything You Need to Find Speech Recognition Developers
Our platform gives you unprecedented access to verified Speech Recognition developers with proven track records — so you can evaluate and hire exceptional Speech Recognition developers quickly and cost-effectively.
Verified Speech Recognition Skills
Every Speech Recognition developer's skills are validated through actual GitHub repositories, not just resume claims.
- Real Speech Recognition projects analyzed
- Contribution history verified
- Code quality signals included
Advanced Filtering
Find exactly the Speech Recognition developers you need with precise filtering capabilities.
- Speech Recognition experience levels
- Location and timezone filters
- Activity and repository filters
Direct Contact Access
Get verified email addresses and contact information for Speech Recognition developers instantly.
- Direct email access
- No middlemen
- Reach out the same day
No Recruiting Fees
Hire Speech Recognition developers directly without expensive agency markups or placement fees.
- Flat subscription pricing
- No per-hire fees
- Unlimited outreach on paid plans
Faster Hiring Process
Reduce time-to-hire for Speech Recognition positions from months to weeks with pre-qualified candidates.
- Pre-verified profiles
- Skip resume screening
- Start conversations faster
Quality Assurance
Every Speech Recognition developer profile includes comprehensive quality metrics and verification.
- Public work you can inspect
- Recent activity signals
- Related skill pairings
Traditional Recruiting vs. RealGreatDevs for Speech Recognition
Traditional Recruiting
The old way
- 15–25% placement fees
- Months to fill a role
- Resume claims, not proof
- Limited Speech Recognition specialist reach
RealGreatDevs
The smart way
- No recruiting fees
- Instant Speech Recognition developer search
- Skills verified by public code
- 577+ Speech Recognition developers
Hire Speech Recognition Developers in 4 Steps
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Search Speech Recognition Developers
Advanced filters
Use our powerful filters to find Speech Recognition developers by experience, location, and specific skills.
Analyze Their Code
GitHub verification
Review actual Speech Recognition projects, contribution patterns, and code quality metrics.
Contact Directly
No middlemen
Get verified email addresses and reach out to Speech Recognition developers directly.
Hiring in United States is as much a scheduling question as a sourcing one. At UTC-6, that means a short morning or evening overlap with Western Europe and near-complete overlap with the US West Coast. That decides whether you are hiring someone who joins your stand-up or someone who hands off to it.
Developers in United States cluster in Brazil, New York, Seattle and San Francisco. City counts cover every indexed developer there, not only the ones using Speech Recognition, so treat them as where the country's engineering population sits rather than a count for this skill.
Speech Recognition developers in United States most often pair it with Python (91.3%), JavaScript (80%) and HTML (69.6%).
Developer cities in United States
All indexed developers per city, across every skill.
- Brazil16,161
- New York13,990
- Seattle10,815
- San Francisco7,176
- Chicago6,497
- Austin5,899
- Poland4,776
- Italy4,710
- Atlanta4,497
- Boston4,399
Counts are developers in the indexed profile set.
Other skills hired in United States
Each links to the same country breakdown for that technology.
- JavaScript145,605
- Python129,510
- HTML128,822
- CSS76,824
- TypeScript72,669
- Java71,728
- C++55,760
- Jupyter49,978
- Bash / Shell49,148
- C44,464
- Ruby37,679
- PHP34,141
- C#33,597
- Go28,669
Counts are developers in the indexed profile set.
What Speech Recognition developers in United States also use
Share of this group who also work with each technology.
- Python525 · 91.3%
- JavaScript460 · 80%
- HTML400 · 69.6%
- TypeScript305 · 53%
- Jupyter280 · 48.7%
- C++230 · 40%
- CSS220 · 38.3%
- Java195 · 33.9%
- C185 · 32.2%
- Bash / Shell175 · 30.4%
- AI170 · 29.6%
- LLMs165 · 28.7%
Counts are developers in the indexed profile set.
What Speech Recognition developers in United States look like
Measured across the profiles in this group, not self-reported.
- Median public contributions, last 12 months
- 238
- Median public repositories
- 36
- Median followers
- 24
- Have a linked LinkedIn profile
- 49.6%
- Flagged as open to work on GitHub
- 40%
Years of experience
- 0–2 years11%
- 3–5 years16%
- 6–9 years34%
- 10+ years39%
Shares of the profiles in this group where experience could be derived.
Sample profiles from United States
Real indexed developers, reduced to ranges and derived labels so no individual is identifiable.
- Contributions / year
- 2,000–3,500
- Public repositories
- 50–75
- Followers
- 500–1,000
- Contributions / year
- 250–500
- Public repositories
- 35–50
- Followers
- 1,000–2,500
- Contributions / year
- 2,000–3,500
- Public repositories
- 20–35
- Followers
- 25–50
- Contributions / year
- 100–250
- Public repositories
- 35–50
- Followers
- 10–25
- Contributions / year
- 3,500–5,000
- Public repositories
- 20–35
- Followers
- 25–50
- Contributions / year
- 500–1,000
- Public repositories
- 10–20
- Followers
- 10–25
Figures are shown as ranges and identifying details are removed. Full profiles, including GitHub handles and contact details, are available to signed-in users.
Frequently asked questions
How many Speech Recognition developers are there in United States?
577 developers based in United States show Speech Recognition in their public GitHub work, which is 11.1% of all 5,211 Speech Recognition developers in the index.
Which cities in United States have the most developers?
Brazil (16,161), New York (13,990), Seattle (10,815), San Francisco (7,176) and Chicago (6,497). These are counts of all indexed developers in each city.
Do working hours in United States overlap with my team?
At UTC-6, that means a short morning or evening overlap with Western Europe and near-complete overlap with the US West Coast.
How active are Speech Recognition developers in United States?
The median developer in this group made 238 public contributions in the last year across 36 public repositories, with a median of 24 followers.
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