Sonara AI Platform
Helping you set up language preferences for smooth AI-driven job matching and interview automation in the USA.
Why Language Settings Matter More Than You Think
When you’re using our App for PC, setting your language preferences isn’t just about picking English or another language and moving on. From our experience, the way you configure these preferences directly impacts the jobs you see and the interviews you get scheduled for. It’s not just translation — it’s about making sure the AI understands your skills and career goals in the right cultural and regional context.
For example, English isn’t a one-size-fits-all language. You might want to focus on American English job markets or British English formats, and that makes a difference in how your CV is parsed and which roles get matched to you. That’s why our platform supports multiple English variants and lets you fine-tune these settings.
| Language Variant | Main Features | Typical Use Case |
|---|---|---|
| American English | US resume formats, terminology, interview styles | Jobs in US cities like New York, San Francisco |
| British English | UK CV formats, work visa checks, interview etiquette | UK roles, London & regional positions |
| Canadian English | Mix of US/UK styles, bilingual considerations | Jobs in Canada, especially bilingual provinces |
| Australian English | Local qualifications, time zone scheduling | Roles in Sydney, Melbourne, remote AU jobs |
Finding Your Language Settings in the App for PC
So, here’s the quick way to get your language preferences set up properly. From the Sonara homepage, first log into your account. Once you’re in your dashboard, the language settings are tucked under the “Account Settings” or “Preferences” menu. If you’re on a smaller screen, you might find this under your profile icon dropdown.
Don’t get confused if you see multiple language options. The “interface language” changes the menus and buttons, but the “job matching language” is what controls the AI’s matching behavior.
Step-by-step navigation
- Log in and open your dashboard.
- Click your profile picture or name in the top right corner.
- Select “Account Settings” or “Preferences” from the dropdown.
- Find the “Language & Region” or just “Language” section.
- Adjust your primary language, regional variant, and interview language preferences here.
How to Set Up English-Only Job Matching
If you want to focus exclusively on English-speaking roles, we’ve built a solid setup for that in our App for PC. Here’s the deal: it’s not just about saying “English only” and hoping for the best. Our AI applies a preference scoring system that filters out non-English roles automatically.
Here’s how you can set this up yourself:
- Go to “Job Search Settings” or “Matching Preferences” in your dashboard.
- Find the language requirements section.
- Set your primary language to English and pick your regional variant.
- Leave secondary languages blank for strict English-only matching.
- Make sure the interview language matches your primary language selection.
- Save your settings and let the AI do the rest.
What this does is apply “negative scoring” to jobs that require other languages, so they won’t clutter your match list. It’s a neat way to keep things relevant and save you time.
Balancing Flexibility with English Priority
But here’s the thing — not everyone wants to be that strict. If you’re open to occasional multilingual roles or want to keep your options open, our platform lets you set flexible language preferences using “preference weighting.”
This means English jobs get top priority, but the system won’t completely block roles that involve other languages. Instead, those opportunities are ranked lower in your match list.
Adjusting Preference Weights
We simplified this so you don’t have to be a data scientist:
| Language Priority | Score Weight | Effect on Matches |
|---|---|---|
| Primary English | +10 | Top priority |
| English Preferred | +5 | High priority |
| English Acceptable | 0 | Standard matching |
| English Required | -10 | Strict filtering |
You can also add fallback languages like Spanish or French, especially useful in US or Canadian markets where bilingual skills matter.
Targeting Regional English Variants Makes a Difference
From what users tell us, choosing the right English variant is more than cosmetic. It affects how your CV is parsed, which job titles the AI recognizes, and even interview scheduling details.
For instance, what Americans call an “entry-level program,” Brits might know as a “graduate scheme.” Our AI understands these differences and matches you accordingly.
Market-Specific Details
- United States: Resume preferences, state licensing, and US business hours for interviews.
- United Kingdom: CV formats, visa considerations, British interview etiquette.
- Canada: Bilingual requirements, provincial certifications.
- Australia: Local qualifications, timezone-sensitive scheduling.
Our system can also spot remote roles open across multiple markets, which is handy if you’re open to international or flexible work setups.
Interview Automation: Language and Scheduling
Now, let’s talk about the interview side of things. Our platform’s automation doesn’t just schedule your interviews — it adapts all communications to your chosen language and regional style.
That means the emails you get, the practice interview scenarios, and the follow-up templates all match your cultural context. For example, American interview emails tend to be more direct, while British communications might be more formal.
Scheduling With Time Zones in Mind
We also consider local business hours and scheduling customs. So, if you’re in the Eastern Time Zone and the employer’s in California, our AI tries to find an interview time that works well for both, avoiding lunch hours or late evenings.
Behind the Scenes: How Our AI Understands Language Requirements
It’s easy to assume AI just matches keywords, but our system goes deeper. We analyze job descriptions using natural language processing to figure out exactly how language requirements are expressed.
For example, phrases like “Spanish is a plus” are treated differently than “Spanish required.” That nuance helps the AI score jobs accurately and only show you what’s really relevant.
| Phrase Type | Effect on English Match Score | Example |
|---|---|---|
| “English required” | +15 points | Strong match |
| “English preferred” | +10 points | Moderate match |
| “Multilingual a plus” | -2 points | Neutral to slight negative |
| “Other language required” | -15 points | Strong negative |
We’re proud that this approach keeps accuracy around 94% for English-language jobs, and we improve constantly based on user feedback.
Common Language Preference Scenarios and Fixes
From what we’ve seen, most users fall into a few common categories when setting language preferences. Here’s a quick rundown:
- Strict English-Only: No secondary languages, strict matching enabled. Might miss some international roles but keeps matches super relevant.
- English Primary with Flexibility: English top priority but allows a couple of secondary languages. Great if you want some room to grow.
- International Focus: English primary but enables cross-market matching and adds multiple secondary languages. Perfect for global career paths.
Troubleshooting Tips
- If you get irrelevant matches, double-check that both interface and job matching language settings are aligned.
- If you miss obvious English roles, try loosening strict filters or adjusting preference weights.
- Make sure interview language settings match your primary language to avoid scheduling errors.
| Issue | Likely Cause | Quick Fix |
|---|---|---|
| Too many non-English matches | Job matching language not set to English only | Enable strict English-only setting |
| Missing English jobs | Filters too restrictive | Adjust preference weights to more flexible |
| Interview emails in wrong language | Interview language preference mismatch | Align interview language with primary language |
Integrating With Your Favorite HR Tools
Our App for PC doesn’t work in isolation. We connect with platforms like LinkedIn, Indeed, and Glassdoor, plus custom HR systems. Each has its own way of handling language requirements, so our system normalizes these differences so you don’t have to worry about it.
For example, LinkedIn might use skill-based language tags, while Indeed parses job descriptions. We take those inputs and convert them into consistent language preference data that drives your matches and interview automation.
Keeping Your Language Preferences Private and Secure
We get that language preferences can be sensitive. Maybe they hint at your background or career plans. That’s why we store this data encrypted and separate from your main profile. Employers only see language skills you choose to share during applications.
You also control how visible your language preferences are, with options for anonymous matching or selective disclosure. And of course, we comply with privacy laws like GDPR, CCPA, and more depending on where you are.
| Privacy Feature | Description |
|---|---|
| Profile Visibility | Control whether employers see your language skills |
| Application Disclosure | Choose language info shown per job application |
| Anonymous Matching | Match based on language without revealing identity initially |
| Data Retention Controls | Set how long language preference data is stored |
Monitoring and Tweaking Your Language Settings Over Time
Language preferences aren’t a “set it and forget it” deal. Your career changes, markets shift, and so should your settings. Our platform gives you analytics on how your language preferences influence your matches and application success.
What You’ll See in Your Dashboard
- Match quality by language requirement type
- Application success rates linked to language matches
- Interview conversion rates based on language accuracy
- Employer response trends by language skills
Based on this, our AI suggests tweaks — maybe broaden your language scope or focus it tighter, depending on results.
And since job markets change seasonally and with trends like remote work, our system can recommend temporary adjustments to keep you competitive.
❓ FAQ
How often should I review my language preference settings?
Every 3-6 months or whenever you notice a change in the types of job matches you get. Adjust if you’re seeing too many irrelevant jobs or missing opportunities.
Can I have different language preferences for different job types?
Not within one profile, but you can create multiple job search profiles with different language settings to target local vs. international roles.
What happens if I change my language preferences mid-job search?
New matches reflect your updated settings immediately, but current applications and interviews follow the settings at the time you applied.
Does the App for PC support languages other than English as primary?
Yes, we support dozens of languages, but advanced features work best when configured with widely used languages like English, Spanish, French, and German.
How does language preference affect interview scheduling?
It sets the language for automated communications, adapts message tone, and adjusts scheduling to local business hours and cultural norms.
Can employers see my internal language preference settings?
No, they only see the languages and skills you explicitly share on your profile or during applications.
What if I’m not getting matches despite reasonable language settings?
Try broadening your language preferences temporarily or review other profile areas that might limit matches.
How accurate is language requirement detection?
Our system is about 94% accurate for English-language postings and improves with your feedback on irrelevant matches.
