The China Mail - Rural India powers global AI models

USD -
AED 3.673042
AFN 63.503991
ALL 82.403989
AMD 368.150403
ANG 1.790403
AOA 918.000367
ARS 1465.449815
AUD 1.42575
AWG 1.8025
AZN 1.70397
BAM 1.705709
BBD 2.013483
BDT 122.708482
BGN 1.69088
BHD 0.37702
BIF 2985
BMD 1
BND 1.290663
BOB 6.90816
BRL 5.152304
BSD 0.999721
BTN 94.239742
BWP 13.585663
BYN 2.777729
BYR 19600
BZD 2.010527
CAD 1.415225
CDF 2280.000362
CHF 0.807055
CLF 0.02293
CLP 902.460396
CNY 6.769604
CNH 6.783725
COP 3452.68
CRC 453.506829
CUC 1
CUP 26.5
CVE 96.403894
CZK 21.091104
DJF 177.720393
DKK 6.516504
DOP 58.403884
DZD 133.34504
EGP 49.986489
ERN 15
ETB 158.37504
EUR 0.871881
FJD 2.235504
FKP 0.756415
GBP 0.755512
GEL 2.650391
GGP 0.756415
GHS 11.22504
GIP 0.756415
GMD 73.503851
GNF 8775.000355
GTQ 7.625892
GYD 209.119888
HKD 7.83685
HNL 26.68504
HRK 6.568104
HTG 130.583803
HUF 306.820388
IDR 17826.3
ILS 2.95976
IMP 0.756415
INR 94.330504
IQD 1310
IRR 1375000.000352
ISK 125.530386
JEP 0.756415
JMD 157.959917
JOD 0.70904
JPY 161.30504
KES 129.403801
KGS 87.450384
KHR 4010.00035
KMF 429.503794
KPW 900.00035
KRW 1527.650383
KWD 0.30793
KYD 0.833035
KZT 487.855928
LAK 22055.000349
LBP 89550.000349
LKR 333.641485
LRD 182.150382
LSL 16.405039
LTL 2.95274
LVL 0.60489
LYD 6.375039
MAD 9.225039
MDL 17.654036
MGA 4200.000347
MKD 53.732839
MMK 2099.727916
MNT 3581.295381
MOP 8.070939
MRU 40.060379
MUR 47.850378
MVR 15.450378
MWK 1737.000345
MXN 17.326504
MYR 4.137904
MZN 63.910377
NAD 16.403727
NGN 1360.440377
NIO 36.610377
NOK 9.680204
NPR 150.787532
NZD 1.741735
OMR 0.384983
PAB 0.999725
PEN 3.384039
PGK 4.38775
PHP 60.716504
PKR 278.325038
PLN 3.71375
PYG 6138.96617
QAR 3.640504
RON 4.568104
RSD 102.170373
RUB 73.103247
RWF 1464
SAR 3.74824
SBD 8.061424
SCR 13.683262
SDG 600.503676
SEK 9.57882
SGD 1.292404
SHP 0.746601
SLE 24.750371
SLL 20969.503664
SOS 571.503662
SRD 37.402504
STD 20697.981008
STN 21.4
SVC 8.747449
SYP 110.532098
SZL 16.403649
THB 32.890369
TJS 9.272075
TMT 3.5
TND 2.91175
TOP 2.40776
TRY 46.438204
TTD 6.779085
TWD 31.715038
TZS 2630.985038
UAH 44.909735
UGX 3638.520172
UYU 39.96965
UZS 12005.000334
VES 606.63266
VND 26310
VUV 118.773512
WST 2.751708
XAF 572.078806
XAG 0.015419
XAU 0.00024
XCD 2.70255
XCG 1.801643
XDR 0.703697
XOF 565.000332
XPF 104.250363
YER 238.603589
ZAR 16.458037
ZMK 9001.203584
ZMW 17.919703
ZWL 321.999592
  • JRI

    0.0500

    12.67

    +0.39%

  • CMSC

    0.0500

    22.37

    +0.22%

  • BCC

    3.8500

    74.66

    +5.16%

  • CMSD

    0.0000

    22.29

    0%

  • RBGPF

    -0.5300

    60.61

    -0.87%

  • NGG

    -1.2400

    79.44

    -1.56%

  • RELX

    -0.8300

    31.18

    -2.66%

  • BCE

    0.0000

    23.28

    0%

  • GSK

    -1.4800

    50.67

    -2.92%

  • RIO

    -2.5900

    100.08

    -2.59%

  • VOD

    -0.2300

    14.3

    -1.61%

  • RYCEF

    -0.0300

    18.4

    -0.16%

  • AZN

    -2.9600

    174.93

    -1.69%

  • BP

    -1.0400

    39.1

    -2.66%

  • BTI

    -0.5800

    58.91

    -0.98%

Rural India powers global AI models
Rural India powers global AI models / Photo: © AFP

Rural India powers global AI models

Tending crops by day and then logging on for a night shift of data labelling, 27-year-old Chandmani Kerketta is part of a rising rural Indian workforce helping power an artificial intelligence revolution.

Text size:

From her home in India's eastern Jharkhand state, Kerketta is part of an AI-driven labour shift that the government hopes will transform lives, including by bringing more women into the workforce.

The work is basic but essential for machine learning: data labelling, annotation and quality checks.

It is the type of information key for driverless cars, for example.

"This job helped me finish my studies, and help at home on our farm," Kerketta said as she tended tomatoes and peas.

Kerketta, from one of India's constitutionally recognised tribal communities, was the first in her family to attend college.

She initially worked as an office assistant at a data-processing firm in Jharkhand's capital Ranchi, where she watched employees working at computers.

But after a computer course at her village school, Kerketta joined an estimated workforce of at least 200,000 annotators in India's villages and small towns -- a growing figure, and roughly half of the world's data-labelling workforce, according to US-based Scry AI.

Rural-based workers can label hundreds of images, videos and documents during eight-hour shifts, either from home or from modest internet-connected centres.

"After my night shift of data work, I sleep a little, and then help in farming," said Kerketta, who now holds a history degree. "In Jharkhand, farming is everything."

Anju Kumari, 25, another rural AI worker in Jharkhand using a national fibre-optic cable network laid by Indian Railways, said the job had provided her with a pathway to a wider world.

Kumari said work can include painstaking "labelling videos frame-by-frame", giving the example of teaching AI whether a person using an ATM is "likely a burglar, or someone genuinely drawing cash".

- Small-town offices -

India, which will host an international AI summit next month, has ambitious plans.

It is now third in a global AI power ranking, overtaking South Korea and Japan, based on more than 40 indicators from patents to private funding calculated by Stanford University's Institute for Human-Centered AI.

In recent months, US tech giants including Google, Microsoft and Amazon have announced multi-billion-dollar investments to build some of the world's biggest data centres in India.

The country is no stranger to back-end work for global technology firms.

Cities such as Bengaluru, Hyderabad and Chennai host major international players, but India's AI push is also expanding into more remote regions.

In Tamil Nadu state, along a winding rural road, Indu Nadarajan travels to a small-town office where she labels images for autonomous vehicles, such as road markings, headlights and animals.

Nadarajan works for NextWealth, an AI-enabling services firm headquartered in Bengaluru, with offices across small towns, supporting clients from the United States, Europe and Asia.

"Many go to Chennai and Bengaluru to learn about AI," said Nadarajan, who has a master's degree in mathematics.

"But being here in our hometown and learning about AI makes me feel very proud."

- 'Anybody can be anywhere' -

Every AI model relies on vast amounts of labelled data, regardless of its complexity. The more precise the labelling, the better the technology performs.

"When I can design a product for a US company 5,000 miles away, why can't I do it from 200 miles away?" said NextWealth founder Sridhar Mitta, 80, a former chief technology officer at Indian tech giant Wipro.

"Anybody can be anywhere and do the things, because the value goes through the internet."

His scattered employees earn anywhere between $275 to $550 a month.

While AI-driven automation may render some jobs obsolete, Mitta believes it will also generate opportunities.

"Micro-entrepreneurship will be the next phase for small towns," Mitta said.

"It may not be another billion-dollar company, but they will produce something which will be useful to the region."

As AI reaches rural India, it is quietly reshaping lives -- particularly for women from conservative backgrounds.

For Amala Dhanapal, a colleague of Nadarajan and the first graduate in her family -- her father is a tailor and her mother a homemaker -- working in AI has changed attitudes.

"It's a big thing," Dhanapal said, saying it both provided a gateway to learning and greater financial independence.

"Most girls find it difficult to even pursue their education due to their family background."

When Kerketta first began her data-annotation work, villagers mocked her.

"Now, when they see me going around on my scooter, they look at me with pride," she said. "Just like I do myself."

D.Peng--ThChM