Welcome to our new Wonsulting International Newsletter! 🌏🥳
Each week, you’ll get job search tips that focus on the international job search.
We know finding jobs that offer visa sponsorship is tough, so we want to help you out!
That’s why this week we’re delivering three tips to help you tailor your resume so you can stand out in the North American job market.
Use standard US English terms in your resume.
For example, if you held the title of "Assistant Manager - Sales" at a company in your home country, and this role is equivalent to a "Sales Executive" in the US, make sure to use the latter in your resume.
Here's an example:
Position: Assistant Manager - Sales, XYZ Company, France (Duties included maintaining customer relationships, developing sales strategies, and meeting sales targets)
Position: Sales Executive (Equivalent to Assistant Manager - Sales in France), XYZ Company, France (Responsibilities included client relationship management, sales strategy development, and sales target achievement)
If you're struggling to figure out the right wording for your bullet points, just use ResumAI's bullet generator! It automatically converts your wording for a North American audience 😎
Add your bullet point into ResumAI:
Enjoy an effortless bullet point!
If you worked for companies that aren't commonly recognized in North America, add a brief description to provide context. Similarly, if you held a role that's uncommon or varies significantly from US norms, briefly describe your duties and responsibilities.
Here's an example:
Before: Lead Solutions Architect at Jadoo Pvt Ltd, India
After: Lead Solutions Architect at Jadoo Pvt Ltd
Jadoo PvT Ltd is India's leading cloud solutions provider, ranked among the top five companies in India's IT sector. In this role, I spearheaded a team to design cloud-based solutions for international clients.
Make sure your resume follows North American formatting standards. For instance, use the American date format (month-day-year), and if needed, convert educational grades to the U.S. GPA system.
Before: Completed Master's in Computer Science, XYZ University, UK, achieved a Distinction (top 10% of the class)
After: Earned a Master's degree in Computer Science from XYZ University, UK, with a GPA equivalent to 4.0/4.0 (top 10% of the class). Completed on 12/05/2022.
For dates, note how 12/05/2022, which is December 5, 2022 in the American date format, could easily be misinterpreted as 12th May 2022 in other date formats. The localization of such details reduces confusion and ensures clarity for the employer.
When you use ResumAI to create your resume, your dates, job titles and roles are all standardized to follow the US standard.
Have a look at the image below:
There’s a lot of nuance in creating a resume that’s tailored to a North American audience.
So use ResumAI to make sure your resume matches the US standard.
It’ll help you showcase all your skills and experience in a way that your audience is familiar with!
💡Our community is going places! (like the UK 👀)
We love creating useful tools and services to get you hired. And our community proves it 😎
Gaurav went to the UK from India and landed a job as a Cyber Security Consultant using ResumAI
"Between March 2023 and May 2023 he had 7-8 interviews scheduled and got selected in 3."
Joe landed an interview at Shopify using ResumAI
"I interviewed for the role of a Summer Project Management internship at Spotify and secured a first-round interview... Even used ResumeAI to build it 😆"
Will you be featured next? Use WonsultingAI to help you land your dream job now.
We’re here for the underdogs.
But also regular dogs/pups/pupper-duppers, etc. 🐶
So when our teammate Christian shared a picture of his happy pup and asked us to do the same, we did!
First, here’s Christian and his happy pup:
Then Angela posted her “kitchen helper ❤️”
Mark shared his “little baby”:
And Stefanie shared a picture of a “random happy street dog in Istanbul :)” 😂
As an international job seeker, you know how important it is to research trending industries.
So this month we’re focusing on emerging industries that are expected to boom in the next 5-10 years.
We want you to be competitive, and that means gaining skills in emerging industries.
So this week’s emerging industry focus is none other than AI 🤖
But how can you break into AI?
What’s one of the easiest routes?
One of the best ways is to get involved with an AI startup.
Startups are usually more flexible, so that means they’re not always limited by company policies that make it harder to hire international workers.
And you can find them on topstartups.io
Greylock is a collaboration between various billion-dollar companies, including Figma and Abnormal Security, to hire for a series of startups. The firm is located in the San Francisco Bay Area, California, and was founded in 1965.
Cynch AI is a San Francisco-based startup that aims to build AI for accounting and financial decision-making. The company was founded recently in 2022.
A remote startup founded in 2022, Hypertune, is developing a type-safe feature flag, A/B testing, and AI-powered optimization platform.
Located in London, Synthesia is working on AI avatars that can generate professional videos in minutes. Established in 2017, they have already grown to between 201-500 employees.
OpenAI is a San Francisco-based non-profit AI research company that was founded in 2015. The organization's mission is to discover and implement the path to safe artificial general intelligence.
Keep in mind these are just 5, there are literally tons out there - you just have to be on the lookout.
Now that you know where to look, what skills will be in demand in this new industry?
Here are the top five:
What it does: Data Science involves extracting knowledge from data, recognizing patterns, and informing decisions through statistics, machine learning, and programming.
Why it's important: In AI, data is everything. Mastering data manipulation and understanding can drive the creation of effective models, crucial for predictive and analytical tasks.
What it does: A branch of AI, Machine Learning focuses on developing algorithms that improve from experience and solve problems such as image recognition or fraud detection.
Why it's important: Machine Learning forms the backbone of many AI systems, allowing them to automatically learn, adapt, and improve.
What it does: NLP lets computers interact with humans in natural language, powering applications like chatbots and voice assistants.
Why it's important: As AI systems increasingly interact with people, NLP allows these systems to understand and respond in human language, improving their usability and effectiveness.
What it does: Robotics involves designing and operating robots for various applications, including manufacturing and healthcare.
Why it's important: Robotics brings AI into the physical world, enhancing productivity and tackling tasks beyond human capabilities. Knowledge in this field is crucial for the development of AI-driven physical systems.
What it does: Cybersecurity focuses on protecting computer systems from unauthorized access, theft, or damage.
Why it's important: With the rise of AI, securing these advanced systems from cyber threats is paramount, making cybersecurity an essential skill in the AI domain.
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