Текст в csv отображается символами

def save_to_csv(jobs):
        for i in range(len(jobs)):
            with open('test.csv', "a", newline="", encoding='utf-8-sig') as file:
                                    #                        ^^^^^^^^^
                print(jobs[i])
                # title = jobs[i]['title']
                title = jobs[i].values()
                writer = csv.writer(file)
                writer.writerow(title)

И еще

soup = BeautifulSoup(result.content, "html.parser")
#                           ^^^^^^^

Зашло как-то под настроение (небольшая оптимизация):

import csv

import requests
from bs4 import BeautifulSoup

headers = {
    'Host': 'work.ua',
    'User-Agent': 'Safari',
    'Accept': '*/*',
    'Accept-Encoding': 'gzip, deflate, br',
    'Connection': 'keep-alive'
}

URL_work_ua = "https://www.work.ua"

csv_header = ['title', 'company', 'location', "link"]


def extract_job_work_ua(html):
    title = html.find('a').text
    company = html.find('div', {'class': 'add-top-xs'}).find('b').text
    company = company.strip()
    city = html.find('div', {'class': 'add-top-xs'}).find_all('span')

    location = None

    if city[len(city) - 2].text == '·':
        location = city[len(city) - 1].text
    if city[len(city) - 2].text != '·':
        location = city[len(city) - 4].text
    link = URL_work_ua + html.find('a')['href']

    return dict(zip(csv_header, [title, company, location, link]))


def extract_workUA_jobs():
    data = []
    for page in range(1):
        result = requests.get(f'{URL_work_ua}{"/jobs/?ss="}{page}', headers)
        soup = BeautifulSoup(result.content, "html.parser")
        data += map(
            extract_job_work_ua,
            soup.find_all(
                'div',
                # {'class': 'card card-hover card-visited wordwrap job-link js-hot-block'}
                class_='card-hover'
            )
        )
    return data


with open('test.csv', "w", newline="", encoding='utf-8-sig') as file:
    writer = csv.DictWriter(file, fieldnames=csv_header, dialect=csv.unix_dialect, delimiter=",")
    writer.writeheader()
    writer.writerows(extract_workUA_jobs())

С самим парсингом тоже можно поколдовать но не сейчас.
Получившийся csv можно смело открывать в Excel

Можно так-же вывести в красивую таблицу с библиотекой tabulate

tab_header = {'title': 'Вакансія', 'company': 'Компанія', 'location': 'Місто', 'link': 'Посилання'}

obj = extract_workUA_jobs()

print(tabulate(
    obj,
    headers=tab_header,
    tablefmt='pipe'
))